Fatty liver management level evaluation system

Abstract

The invention discloses a fatty liver management level evaluation system which comprises an intelligent terminal and a cloud server side. According to the method, the fatty liver health condition is screened, the AHP and the TOPSIS are combined with the fuzzy comprehensive evaluation model, the fatty liver health index and rating of the user are calculated, meanwhile, the fatty liver health index and rating can be converted into the fatty liver management level index, the cognition of the user on the own health condition is improved, the health consultant end is arranged, and the user experience is improved. The consultant can carry out personalized health tasks and plans according to the evaluation result, and the user is guided to form a healthier lifestyle; furthermore, the consultant can give evaluation suggestions according to the completion condition of the user, so that doctor-patient communication is increased; besides, the fatty liver management level index can be dynamically changed in real time according to daily self-evaluation and task completion conditions of the user, and the user is encouraged to develop healthy habits, so that risk people are helped to prevent diseases, and fatty liver patients are helped to control disease conditions.

Description

Technical Field

[0001] The present invention relates to the technical field of health management, and particularly to a fatty liver management level evaluation system. Background Art

[0002] As a group of highly heterogeneous diseases, the causes of fatty liver are extremely complex, involving multiple factors such as susceptible genes, epigenetics, diet, and lifestyle. The liver occupies a central position in the body's energy and glycolipid metabolism. Among them, energy-dense diets and sedentary lifestyles are extremely key factors, which can give rise to diseases such as obesity and metabolic syndrome (MetS), and these conditions constitute the main risk factors for metabolic associated fatty liver disease (MAFLD). Once the function of adipose tissue is impaired, it will trigger related insulin resistance (IR) and low-grade inflammatory responses, which will lead to an increase in the synthesis of liver triglycerides. At the same time, its oxidative utilization and transport are correspondingly reduced, ultimately resulting in liver fat accumulation. In addition, additional adverse factors such as gut microbiota dysbiosis and glycolipid toxicity will trigger a series of mechanisms such as mitochondrial dysfunction, endoplasmic reticulum stress, and lipid peroxidation damage, leading to liver inflammatory damage and stellate cell activation, and further promoting the pathogenesis of metabolic associated steatohepatitis, liver fibrosis, and even hepatocellular carcinoma (HCC).

[0003] Non-alcoholic fatty liver disease (NAFLD) is the most common chronic liver disease globally and is also the main cause of elevated serum transaminases in the health examination population. In China, NAFLD has replaced viral hepatitis as the number one type of chronic liver disease, highlighting the important shift in the pattern of fatty liver disease in the field of liver diseases in China and indicating more severe challenges and higher requirements for the prevention, control, and research of fatty liver in multiple aspects such as clinical and public health. Currently, lifestyle intervention remains the basic and only treatment for NAFLD, but patients often have poor compliance. Summary of the Invention

[0004] The purpose of the present invention is to provide a fatty liver management level evaluation system, including: a smart terminal and a cloud server.

[0005] The smart terminal includes a user terminal.

[0006] The user terminal includes a fatty liver health assessment module, a fatty liver high-frequency risk factor test module, and a fatty liver health intervention tool module.

[0007] The fatty liver health assessment module conducts a health assessment on the user to obtain health data.

[0008] The fatty liver high-frequency risk factor test module conducts a self-test assessment of high-frequency risk factors on the user to obtain self-test data.

[0009] The fatty liver health intervention tool module intervenes in the user's behavior for preventing and / or controlling fatty liver according to high-frequency factors of fatty liver, and obtains intervention behavior data.

[0010] The cloud server side includes a fatty liver health data processing module, a data transmission module, and a data storage module.

[0011] The fatty liver health data processing module calculates the fatty liver health index and rating of the user through health data, self-test data, and intervention behavior data.

[0012] The data transmission module is used for data interaction with the intelligent terminal.

[0013] The data storage module is used for storing the data of the intelligent terminal and the cloud server side.

[0014] Furthermore, the intelligent terminal further includes a health advisor side.

[0015] The health advisor side includes a user management module, an advisor information reminder module, a personal center module, a fatty liver science popularization content creation module, and a fatty liver management incentive setting module.

[0016] The user management module includes my customer module, advice publishing module, task plan formulation module, task evaluation module, and user consultation module.

[0017] The my customer module is used to record the information of different users, and the information includes the personal information of the customer, the vitality index, the current task status, and the task details. The task details include the basic information of the task and the task menu.

[0018] The advice publishing module is for the advisor to publish advice to the user, and the advice includes but is not limited to psychology, nutrition, sleep, and exercise.

[0019] The task plan formulation module is used to formulate health tasks for the user.

[0020] The task plan formulation module includes a task item selection module, a task duration selection module, a task execution frequency selection module, a task execution precautions module, and a fatty liver task template module.

[0021] The task item selection module includes one or more of the following combinations: fatty liver high-frequency risk factor test module, fatty liver health intervention tool module.

[0022] The task duration selection module is used to formulate the number of time periods required for the user to execute the task.

[0023] The task execution frequency selection module is used to select the frequency of task execution.

[0024] The precautions module is used to elaborate on the precautions during the execution of each task.

[0025] The fatty liver task template module includes a basic task template formulation module and a task plan formulation module based on the template.

[0026] The basic task template formulation module is used for the consultant to formulate a new task template.

[0027] The task plan formulation module based on the template is used for the consultant to call and modify the template in the data storage module.

[0028] The evaluation task module is for the consultant to conduct a written evaluation and a rating evaluation on the task performance of the user.

[0029] The user consultation module is for the consultant to reply to the questions consulted by the user.

[0030] The consultant information reminder module is used to remind the consultant that new messages have been delivered. The types of new messages include task end reminder, consultation information reminder, adding consultant reminder, and customer complaint reminder.

[0031] The personal center module is used for professional registration, viewing, and editing personal information.

[0032] The fatty liver science popularization content creation module is for the consultant to create fatty liver science popularization knowledge, and the forms include but are not limited to pictures, texts, and videos.

[0033] The fatty liver science popularization knowledge is saved to the data storage module in the cloud server through the data transmission module.

[0034] The fatty liver science popularization content creation module also includes a fatty liver science popularization knowledge push module and a sharing module.

[0035] The fatty liver science popularization knowledge push module is used to select the fatty liver science popularization knowledge suitable for the user and perform precise push. The selected fatty liver science popularization knowledge is sent to the user terminal through the data transmission module and saved to the data storage module in the cloud server.

[0036] The sharing module is used to share the created fatty liver science popularization knowledge to various platforms.

[0037] The fatty liver management incentive setting module is used for the consultant to set incentive measures for the user. The incentive measures include but are not limited to integral rewards, virtual assets, playing the set sound effects, popping up a custom pop-up window, and the content of the pop-up window includes but is not limited to custom texts, pictures, and voice contents.

[0038] Furthermore, the smart terminal also includes a switching module and an integration module.

[0039] The client and the health advisor end are respectively located on different intelligent terminals.

[0040] The client and the health advisor end operate independently and communicate with the cloud server end respectively.

[0041] The client and the health advisor end are switched through a switching module.

[0042] The client, the health advisor end, and the switching module are encapsulated in an integrated module.

[0043] Furthermore, the client further includes a fatty liver management level index module, an advisor management information module, a fatty liver intelligent task setting and reminder module, a fatty liver incentive module, and an index history record module.

[0044] The fatty liver management level index module is used to display the fatty liver management level index, development trend, and prevention and control key points of the user.

[0045] The prevention and control key points are determined according to the scores of the fatty liver high-frequency risk factor test module;

[0046] The fatty liver management level index is calculated by the fatty liver management level index calculation module.

[0047] The data transmission module transmits the fatty liver management level index to the fatty liver management level index module for display.

[0048] The advisor management information module includes an advisor query and addition module, an advisor information query and evaluation module, an advisor suggestion viewing module, an advisor consultation desk module, a task management module, and a user information reminder module.

[0049] The advisor query and addition module is used to add an advisor.

[0050] The advisor information query and evaluation module includes the personal information of the advisor, the importance level of the advisor, and service complaint options.

[0051] The advisor suggestion viewing module is used to view the suggestions given by the advisor.

[0052] The advisor consultation desk module is used to consult the advisor about relevant health problems and view the consultation replies of the advisor.

[0053] The task management module is used to view tasks and task evaluation situations.

[0054] The task management module includes a my task query module and a task evaluation query module.

[0055] The my task query module is used to display the user's tasks for today.

[0056] The task evaluation query module is used to view the evaluations of the tasks completed by the consultant himself / herself.

[0057] The user information reminder module is used to display the reminder information sent by the consultant.

[0058] The fatty liver intelligent task setting and reminder module includes a fatty liver intelligent personalized life plan module, a fatty liver intelligent knowledge education module, a fatty liver intelligent reminder module, and a fatty liver intelligent management report module.

[0059] The fatty liver intelligent personalized life plan module is used to display the generated personalized life plan and tasks.

[0060] The fatty liver intelligent personalized life plan module includes an intelligent personalized life plan display module and a personalized life plan manual modification module.

[0061] The intelligent personalized life plan display module is used to display the personalized life plan generated by the fatty liver intelligent management module.

[0062] The personalized life plan manual modification module is used for the user to manually modify the generated personalized life plan to complete a new personalized life plan.

[0063] The fatty liver intelligent knowledge education module is used to display personalized fatty liver-related knowledge.

[0064] The fatty liver intelligent consultant reminder module is used to remind the user to complete the tasks issued by the intelligent consultant.

[0065] The fatty liver intelligent management report module is used to display the automatically generated fatty liver management report, including the user's fatty liver condition, weight change situation, and fatty liver management situation.

[0066] The fatty liver incentive module is used to display the incentive measures when the user completes health tasks. The incentive measures include but are not limited to integral rewards, virtual assets, playing the set sound effects, and popping up a custom pop-up window. The content of the pop-up window includes but is not limited to custom text, pictures, and voice content.

[0067] The index history record module is used to display the user's fatty liver health index, fatty liver management level index, and change trend.

[0068] Furthermore, the health consultant terminal also includes a fatty liver intelligent consultant module.

[0069] The fatty liver intelligent consultant module is used to provide an intelligent AI consultant for the user.

[0070] The intelligent AI consultant issues tasks to the user, recommends personalized life plans, and fatty liver popular science knowledge.

[0071] Furthermore, the fatty liver health assessment module includes a fatty liver health index rating module and a fatty liver-related disease risk assessment module.

[0072] The fatty liver health index rating module conducts a health assessment on healthy individuals to obtain a fatty liver health index rating.

[0073] The fatty liver health index rating module includes a fatty liver health data collection module and a fatty liver health index rating result display module.

[0074] The fatty liver health data collection module includes a basic information collection module, a disease history collection module, a family medical history collection module, a lifestyle collection module, and a physical health status collection module.

[0075] The basic information collection module is used to collect the user's basic information, with a weight of W information 。

[0076] The disease history collection module is used to collect data on the user's metabolic disease history, cardiovascular disease history, digestive system disease history, and endocrine disease history, with a weight of W illness 。

[0077] The family medical history collection module is used to collect data on the user's obesity-related family medical history, diabetes family medical history, hyperlipidemia family medical history, and other metabolic disease family medical history, with a weight of W family 。

[0078] The lifestyle collection module is used to collect the user's lifestyle information, with a weight of W habits 。

[0079] The physical health status collection module is used to collect the user's physical health status, with a weight of W physical 。

[0080] The fatty liver health index rating result display module includes a low-risk population module, a medium-risk population module, a high-risk population module, a mild fatty liver module, a moderate fatty liver module, and a severe fatty liver module.

[0081] The data collected by the fatty liver health data collection module is transmitted through a data transmission module to a fatty liver health data processing module for data processing.

[0082] The fatty liver-related disease risk assessment module conducts a fatty liver-related disease risk assessment on healthy individuals and / or fatty liver patients to obtain fatty liver-related disease risk data.

[0083] The fatty liver-related disease risk assessment module includes a non-alcoholic steatohepatitis risk assessment module, a liver fibrosis risk assessment module, a liver cirrhosis risk assessment module, a hepatocellular carcinoma risk assessment module, a metabolic syndrome risk assessment module, a diabetes risk assessment module, a cardiovascular disease risk assessment module, and a chronic kidney disease risk assessment module.

[0084] The non-alcoholic steatohepatitis risk assessment module is used to assess the risk of non-alcoholic steatohepatitis in the user.

[0085] The liver fibrosis risk assessment module is used to assess the liver fibrosis risk of the user.

[0086] The liver cirrhosis risk assessment module is used to assess the liver cirrhosis risk of the user.

[0087] The hepatocellular carcinoma risk assessment module is used to assess the hepatocellular carcinoma risk of the user.

[0088] The metabolic syndrome risk assessment module is used to assess the metabolic syndrome risk of the user.

[0089] The diabetes risk assessment module is used to assess the diabetes risk of the user.

[0090] The cardiovascular disease risk assessment module is used to assess the cardiovascular disease risk of the user.

[0091] The chronic kidney disease risk assessment module is used to assess the chronic kidney disease risk of the user.

[0092] The fatty liver high-frequency risk factor testing module evaluates the user to obtain the user's evaluation situation, and transmits it to the fatty liver management level index calculation module through the data transmission module to calculate the final fatty liver management level index.

[0093] The fatty liver high-frequency risk factor testing module includes a fatty liver high-frequency risk factor sorting module, a fatty liver high-frequency risk factor recording module, and a fatty liver high-frequency risk factor increasing and decreasing module.

[0094] The fatty liver high-frequency risk factor sorting module is used to sort the fatty liver high-frequency risk factors according to requirements.

[0095] The fatty liver high-frequency risk factor sorting module includes a fatty liver high-frequency risk factor automatic sorting module and a fatty liver high-frequency risk factor manual sorting module.

[0096] The fatty liver high-frequency risk factor automatic sorting module sorts according to the weights of the fatty liver high-frequency risk factors from large to small.

[0097] The weights of the fatty liver high-frequency risk factors are determined and set by the system.

[0098] The manual sorting module for high-frequency risk factors of fatty liver is used for users to manually set the order of personalized high-frequency risk factors of fatty liver according to their own needs.

[0099] The recording module for high-frequency risk factors of fatty liver is used for users to evaluate and record the levels of high-frequency risk factors of fatty liver according to their own situations.

[0100] The recording module for high-frequency risk factors of fatty liver includes, but is not limited to, a lifestyle evaluation module, a bad behavior evaluation module, and a mental health evaluation module.

[0101] The lifestyle evaluation module is used to evaluate the lifestyle of users at different levels, including, but not limited to, a diet evaluation module, an exercise amount evaluation module, and a sleep evaluation module. The weight of the lifestyle evaluation module is ω living , the usage frequency is f living , and the user score is p living .

[0102] The diet evaluation module is obtained by the user grading and evaluating the diet according to their own diet conditions on the same day. The weight of the diet evaluation module is ω eating , the recording usage frequency is f eating , and the user score is p eating .

[0103] The diet evaluation module includes an appetite evaluation module (21) and a food intake evaluation module (21).

[0104] The appetite evaluation module (21) is obtained by the user grading and evaluating the appetite according to their own appetite conditions on the same day. The weight of the appetite evaluation module is ω appetite , the recording usage frequency is f appetite , and the user score is p appetite .

[0105] The food intake evaluation module (21) is obtained by the user grading and evaluating the food intake according to their own food intake conditions on the same day. The weight of the food intake evaluation module is ω foodintake , the recording usage frequency is f foodintake , and the user score is p foodintake .

[0106] The exercise amount evaluation module is obtained by the user grading and evaluating the exercise amount according to their own exercise conditions on the same day. The weight of the exercise amount evaluation module is ω exercisevolume , the recording usage frequency is f exercisevolume , and the user score is p exercisevolume .

[0107] The sleep evaluation module is obtained by the user grading and evaluating the sleep according to their own sleep conditions on the same day. The weight of the sleep evaluation module is ωkip Record the usage frequency as f kip The user score is p kip .

[0108] The bad behavior evaluation module is used to evaluate the bad behavior of users at different levels, including but not limited to the drinking evaluation module and the smoking evaluation module. The weight of the bad behavior evaluation module is ω misconduct Record the usage frequency as f misconduct The user score is p misconduct .

[0109] The drinking evaluation module is obtained by the user's grading evaluation of drinking according to their own drinking situation on the current day. The weight of the drinking evaluation module is ω drink Record the usage frequency as f drink The user score is p drink .

[0110] The smoking evaluation module is obtained by the user's grading evaluation of smoking according to their own smoking situation on the current day. The weight of the smoking evaluation module is ω tobacco Record the usage frequency as f tobacco The user score is p tobacco .

[0111] The mental health evaluation module is used to evaluate the mental health of users at different levels, including but not limited to the stress evaluation module and the emotion evaluation module. The weight of the mental health evaluation module is ω mental Record the usage frequency as f mental The user score is p mental .

[0112] The stress evaluation module is obtained by the user's grading evaluation of stress according to their own stress situation on the current day. The weight of the stress evaluation module is ω pressure Record the usage frequency as f pressure The user score is p pressure .

[0113] The emotion evaluation module is obtained by the user's grading evaluation of emotion according to their own mood situation on the current day. The weight of the emotion evaluation module is ω mood Record the usage frequency as f mood The user score is p mood .

[0114] The grading evaluation includes evaluation indicators that decrease in order from excellent to poor, including but not limited to being divided into five levels and seven levels.

[0115] The user score is determined by the data mining module according to the evaluation indicators selected by the user and transmitted to the fatty liver management level index calculation module.

[0116] The fatty liver high-frequency risk factor increase / decrease module is used for users to increase or decrease fatty liver high-frequency risk factors according to their own needs, and customize a personalized fatty liver high-frequency risk factor test module.

[0117] The fatty liver health intervention tool module intervenes in users, obtains the usage situation of each module by users, and transmits the usage situation to the fatty liver management level index calculation module through the data transmission module, and calculates the final fatty liver management level index.

[0118] The fatty liver health intervention tool module includes a fatty liver health intervention tool sorting module, a fatty liver health intervention tool recording module, and a fatty liver health intervention tool increase / decrease module.

[0119] The fatty liver health intervention tool sorting module is used to sort fatty liver health intervention tools according to requirements.

[0120] The fatty liver health intervention tool sorting module includes a fatty liver health intervention tool automatic sorting module and a fatty liver health intervention tool manual sorting module.

[0121] The fatty liver health intervention tool automatic sorting module sorts according to the weight of fatty liver health intervention tools from large to small.

[0122] The weight of the fatty liver health intervention tool is determined and set by the system.

[0123] The fatty liver health intervention tool manual sorting module is used for users to manually set the order of personalized fatty liver health intervention tools according to their own needs.

[0124] The fatty liver health intervention tool recording module is used to record the usage situation of fatty liver health intervention tools by users, and conduct health interventions on users.

[0125] The fatty liver health intervention tool recording module includes but is not limited to a basic physiological parameter module, a lifestyle improvement module, a bad behavior control module, a fatty liver health literacy learning and training module, and a psychology module.

[0126] The basic physiological parameter module is used to record the basic physiological parameters of users, including weight, blood pressure, and blood sugar. The weight of the basic physiological parameter module is ω basic , the recording usage frequency is f basic , the user score is p basic .

[0127] The basic physiological parameter module includes a weight module, a blood pressure module, and a blood sugar module.

[0128] The weight module is used to record the weight of users and the change trend of weight. The weight of the weight module is ωweight Record the usage frequency as f weight The user score is p weight .

[0129] The blood pressure module is used to record the user's systolic blood pressure, diastolic blood pressure, heart rate, and recent change trends, and manage the user's blood pressure. The weight of the blood pressure module is ω blood pressure Record the usage frequency as f blood pressure The user score is p blood pressure .

[0130] The blood glucose module is used to record the user's blood glucose value and the change trend of blood glucose, and manage the user's blood glucose. The weight of the blood glucose module is ω blood sugar Record the usage frequency as f blood sugar The user score is p blood sugar .

[0131] The lifestyle management module is used to record the user's lifestyle. The weight of the lifestyle management module is ω life-style Record the usage frequency as f life-style The user score is p iife-style .

[0132] The lifestyle management module includes a diet module, an exercise module, and a sleep module

[0133] The diet module is used to record the user's dietary collocation, dietary intake, eating habits, and manage the user's diet. The weight of the diet module is ω diet Record the usage frequency as f diet The user score is p diet .

[0134] The exercise module is used to record the user's exercise situation and the corresponding exercise level, and manage the user's exercise. The weight of the exercise module is ω motion Record the usage frequency as f motion The user score is p motion .

[0135] The sleep module is used to record the user's sleep situation and manage the user's sleep. The weight of the sleep module is ω sleep Record the usage frequency as f sleep The user score is p sleep .

[0136] The bad behavior control module is used to record the user's bad behavior situation. The weight of the bad behavior control module is ω misbehavior Record the usage frequency as f misbehavior The user score is p misbehavior .

[0137] The bad behavior control module includes a smoking cessation module, an alcohol abstinence module, a late-night withdrawal module, and an addiction withdrawal module.

[0138] The smoking cessation module is used to record the user's smoking situation and manage the user's smoking cessation. The weight of the smoking cessation module is ω quit smoking , and the recording usage frequency is f quit smoking , and the user score is p quit smoking .

[0139] The alcohol abstinence module is used to record the user's alcohol consumption situation and manage the user's alcohol abstinence. The weight of the alcohol abstinence module is ω stop drinking , and the recording usage frequency is f stop drinking , and the user score is p stop drinking .

[0140] The late-night withdrawal module is used to record the user's late-night situation and manage the user's late-night habit. The weight of the late-night withdrawal module is ω situp , and the recording usage frequency is f situp , and the user score is p situp .

[0141] The addiction withdrawal module is used to record the user's mobile phone usage situation and manage the user's addiction. The weight of the addiction withdrawal module is ω addiction withdrawal , and the recording usage frequency is f addiction withdrawal , and the user score is p addiction withdrawal .

[0142] The fatty liver health literacy learning and training module is used to improve the user's fatty liver health literacy. The weight of the fatty liver health literacy learning and training module is ω knowledge , and the recording usage frequency is f hnowledge , and the user score is p knowledge .

[0143] The fatty liver health literacy learning and training module includes a fatty liver health literacy learning module and a fatty liver health literacy assessment module.

[0144] The fatty liver health literacy learning module is used to provide the user with knowledge related to fatty liver. The weight of the fatty liver health literacy learning module is ω learn , and the recording usage frequency is f learn , and the user score is p learn .

[0145] The fatty liver health literacy assessment module is used to test the user's learning situation of knowledge related to fatty liver. The weight of the fatty liver health literacy assessment module is ω test , and the recording usage frequency is f test , and the user score is p test .

[0146] The psychological module is used to record the psychological conditions of users and conduct psychological management on users. The weight of the psychological module is ω psychology , and the recording usage frequency is f psychology , and the user score is p psychology .

[0147] The user score is determined by the data mining module based on the content uploaded by the user and transmitted to the fatty liver management level index calculation module.

[0148] The fatty liver health intervention tool increase / decrease module is for users to increase or decrease fatty liver health intervention tools according to their own needs and customize a personalized fatty liver health intervention tool module.

[0149] The fatty liver health intervention tool recording module further includes a fatty liver and related chronic disease monitoring module and an adjuvant treatment module.

[0150] The fatty liver and related chronic disease monitoring module is used to record and monitor the fatty liver and related chronic disease index conditions of users. The weight of the fatty liver and related chronic disease monitoring module is ω monitor , and the recording usage frequency is f monitor , and the user score is p monitor .

[0151] The fatty liver and related chronic disease monitoring module includes a liver function recording module, a blood lipid module, and a kidney function recording module.

[0152] The liver function recording module is used to record the liver function conditions of users, including biochemical examination results and / or imaging examination results, and conduct liver function management on users. The weight of the liver function recording module is ω liver function , and the recording usage frequency is f liver function , and the user score is p liver function .

[0153] The blood lipid module is used to record the blood lipid conditions of users, including triglyceride, total cholesterol, low-density lipoprotein cholesterol, and high-density lipoprotein cholesterol, and conduct blood lipid management on users. The weight of the blood lipid module is ω blood fat , and the recording usage frequency is f blood fat , and the user score is p blood fat .

[0154] The kidney function recording module is used to record the uric acid, creatinine, and urea conditions of users and conduct kidney function management on users. The weight of the kidney function recording module is ω renal function , and the recording usage frequency is f renal function , and the user score is p renal function .

[0155] The auxiliary treatment module is used to record the auxiliary treatment conditions related to fatty liver of the user. The weight of the auxiliary treatment module is ω adjuvant , and the recording usage frequency is f adjuvant , and the user score is p adjivant .

[0156] The auxiliary treatment module includes a breathing training module, a medication module, a music therapy module, and a traditional Chinese medicine health module.

[0157] The breathing training module is used to record the breathing training conditions of the user and manage the breathing training of the user. The weight of the breathing training module is ω breathe , and the recording usage frequency is f breathe , and the user score is p breathe .

[0158] The medication module is used to record the medication conditions of the user and manage the medication of the user. The weight of the medication module is ω medicine , and the recording usage frequency is f medicine , and the user score is p medicine .

[0159] The music therapy module is used to record the music therapy conditions of the user and conduct music conditioning for the user. The weight of the music therapy module is ω music , and the recording usage frequency is f music , and the user score is p music .

[0160] The traditional Chinese medicine health module is used to record the traditional Chinese medicine diagnosis and treatment conditions of the user, including but not limited to tongue diagnosis and syndrome differentiation, and conduct traditional Chinese medicine conditioning for the user. The weight of the traditional Chinese medicine health module is ω chinese medicine , and the recording usage frequency is f chinese medicine , and the user score is p chinese medicine .

[0161] Furthermore, the fatty liver health data processing module includes a fatty liver health index calculation and rating module, a fatty liver management level index calculation module, a fatty liver intelligent management module, and a data mining module.

[0162] The fatty liver health index calculation and rating module obtains the user's fatty liver health index by calculating the fatty liver health data collected by the fatty liver health index rating module.

[0163] The fatty liver health index calculation and rating module includes a data preprocessing module, a weight assignment module, and a health rating module.

[0164] The data preprocessing module normalizes and standardizes the fatty liver health data collected by the fatty liver health index rating module to obtain the standard data y, and transmits the standard data to the weight assignment module.

[0165] The fatty liver management level index calculation module calculates the fatty liver management level index through the self-test data collected by the fatty liver high-frequency risk factor test module and the intervention behavior data collected by the fatty liver health intervention tool module, and / or the information filled in by the user according to their own situation.

[0166] The fatty liver intelligent management module is used to generate the user's personalized life plan, recommended fatty liver popular science knowledge and fatty liver management summary report, transmit them to the fatty liver intelligent task setting and reminder module and the fatty liver intelligent advisor module through the data transmission module, and store them in the data storage module

[0167] The data mining module is used to automatically analyze the integrated data set, summarize the laws of effective fatty liver management, and assign corresponding scores to the user according to the mined laws and the results evaluated or recorded by the user.

[0168] Further, the processing steps of the weight assignment module for the standard data are as follows:

[0169] S1) Use the Analytic Hierarchy Process (AHP) to determine the relative weight W of each index as follows:

[0170] W = (W information , W illness , W family , W habit s , W physical )(1)

[0171] S2) Transmit the determined weight to the health rating module.

[0172] The health rating module obtains the fatty liver health index and rating through the weight output by the weight assignment module, and the steps are as follows:

[0173] S21) Weighted normalization decision matrix.

[0174] S22) Determine the positive ideal solution A + and the negative ideal solution A - .

[0175] S23) Calculate the distance d + from the positive ideal solution A + and the distance d - from the negative ideal solution A - , as follows:

[0176]

[0177]

[0178] Among them, y j + represents the value of the j-th index in the positive ideal solution, and y j - represents the value of the j-th index in the negative ideal solution, and n is the number of evaluation indicators.

[0179] S24) Calculate the relative closeness C as follows:

[0180]

[0181] S25) Analyze C to obtain the fatty liver health index FLHI.

[0182] S26) Determine the evaluation factor set U and the comment set V.

[0183] S27) Construct the fuzzy relation matrix R.

[0184] S28) Conduct fuzzy comprehensive evaluation calculation to obtain the comprehensive evaluation vector B as follows:

[0185]

[0186] B = (b1, b2, …, b m )(6)

[0187] Among them, represents the fuzzy composition operator. W is the weight matrix;

[0188] S29) Determine the fatty liver health rating according to the membership degree and / or closeness.

[0189] Furthermore, the fatty liver management level index calculation module alternatively adopts the following scheme to calculate the fatty liver management level index.

[0190] Scheme 1:

[0191] a1) Select the fatty liver lifestyle data collected by the fatty liver health index rating module, and the corresponding index weight is w i , as follows:

[0192] ∑w i = 1(7)

[0193] Among them, i is the number of all indicators.

[0194] a2) Let the user fill in the score s i of each indicator, or automatically generate the score s i according to the fatty liver health assessment module, the fatty liver high-frequency risk factor test module, and the fatty liver health management tool module.

[0195] a3) Calculate the original score S based on the weights and scores as follows:

[0196] S = ∑w i ×s i (8)

[0197] a4) Determine the range of the original score, denoted as [S min , S max .

[0198] a5) Use the linear conversion formula to convert the original score to the Fatty Liver Management Level Index FLMI as follows:

[0199]

[0200] Scenario 2:

[0201] b1) Count and calculate the frequency of the user using the Fatty Liver High - Risk Factor Test Module, i.e.:

[0202] f living = ω eating ×f eating + ω exercisevolume ×f exercisevoiume + ω kip ×f kip (10)

[0203] f eating = ω appetite ×f appetite + ω foodintake ×f foodintake (11)

[0204] f misconduct = ω drink ×f drink + ω tobacco ×f tobacco (12)

[0205] f mental = ω pressure ×f pressure + ω mood ×f mood (13)

[0206] ω eating + ω exercisevolume + ω kip = 1(14)

[0207] ω foodintake + ω appetite = 1(15)

[0208] ω pressure + ωmood = 1(16)

[0209] ω drink + ω tobacco = 1(17)

[0210] b2) Count and calculate the frequency of users using the fatty liver health intervention tool module, i.e.:

[0211] f basic = ω weight × f weight + ω blood pressure × f blood pressure + ω blood sugar × f blood sugar (18)

[0212] f life-style = ω diet × f diet + ω motion × f motion + ω sleep × f sleep (19)

[0213] f misbehavior = ω quit smoking × f quit smoking + ω stop drinking × f stop drinking + ω situp × f situp + ω addiction withdrawal × f addiction withdrawal (20)

[0214] f knowledge = ω learn × f learn + ω test × f test (21)

[0215] f monitor = ω liver function × f liver function + ω blood fat × f blood fat + ω renal function × f renal function (22)

[0216] f adjuvant = ω breathe × f breathe + ω medicine × f medicine + ω music × f music + ω chinese medicine × f chinese medicine (23)

[0217] ωweight +ω blood pressure +ω blood sugar = 1(24)

[0218] ω diet +ω motion +ω sleep = 1(25)

[0219] ω quit smoking +ω stop drinking +ω situp +ω addiction withdrawal = 1(26)

[0220] ω learn +ω test = 1(27)

[0221] ω liver function +ω blood fat +ω renal function = 1 (28)

[0222] ω breathe +ω medicine +ω music +ω chinese medicine = 1(29)

[0223] b3) Set the weight ω for the fatty liver high-frequency risk factor test module HF , and set the weight ω for the fatty liver health intervention tool module MT , as follows:

[0224] ω HF +ω MT = 1(30)

[0225] where 0 ≤ ω HF ≤ 0.3, 0.7 ≤ ω MT ≤ 1.

[0226] b4) Calculate the fatty liver high-frequency risk factor test score L HF and the fatty liver health intervention tool score L MT , as follows:

[0227] L HF = ω living × f living + ω misconduct × f misconduct + ω mental × f mental (31)

[0228] L MT = ω basic × f basic + ω life-style × f life-style + ωmisbehavior ×f misbehavior +ω knowledge ×f knowledge +ω psychology ×f psychology +ω monitor ×f monitor +ω adjuvant ×f adjuvant (32)

[0229] ω living +ω misconduct +ω mental =1(33)

[0230] ω basic +ω life-style +ω misbehavior +ω knowledge +ω psychology +ω monitor +ω adjuvant =1(34)

[0231] b5) Calculate the fatty liver active intervention score L as follows:

[0232] L = L HF ×ω HF +L MT ×ω MT (35)

[0233] b6) Determine the weight w of the fatty liver health index FLHI flhi , and the weight w of the fatty liver active intervention score L l , as follows:

[0234] 0 ≤ w flhi ≤ 0.2(36)

[0235] 0.8 ≤ w l ≤ 1(37)

[0236] where w flhi +w l =1.

[0237] b7) Calculate the fatty liver management level index FLMI as follows:

[0238] FLMI = FLHI × w flhi +L × w l (38)

[0239] Scheme Three:

[0240] c1) Count and calculate the frequency and score of the user's use of the fatty liver high-frequency risk factor test module.

[0241] fliving = ω eating × f eating + ω exercisevolume × f exercisevolume + ω kip × f kip (39)

[0242] f eating = ω appetite × f appetite + ω foodintake × f foodintake (40)

[0243] f misconduct = ω drink × f drink + ω tobacco × f tobacco (41)

[0244] f mental = ω pressure × f pressure + ω mood × f mood (42)

[0245] p living = ω eating × p eating + ω exercisevolume × p exercisevolume + ω kip × p kip (43)

[0246] p eating = ω appetite × p appetite + ω foodintake × p foodintake (44)

[0247] p misconduct = ω drink × p drink + ω tobacco × p tobacco (45)

[0248] p mental = ω pressure × p pressure + ω mood × p mood (46)

[0249] where ω eating + ω exercisevolume + ω kip = 1(47)

[0250] ω foodintake + ω appetite= 1(48)

[0251] ω pressure + ω mood = 1(49)

[0252] ω drink + ω tobacco = 1(50)

[0253] Wherein, p > 0 indicates that the recorded content is positive content, p = 0 indicates neutral content, and p < 0 indicates negative content.

[0254] c2) Count and calculate the frequency and score of the user's use of the fatty liver health intervention tool module, that is:

[0255] p basic = ω weight × p weight + ω blood pressure × p blood pressure + ω blood sugar × p blood sugar (51)

[0256] p life-style = ω diet × p diet + ω motion × p motion + ω sleep × p sleep

[0257] p misbehavior = ω quit smoking × p quit smoking + ω stop drinkong × p stop drimking + ω situp × p situp + ω addiction withdrawal × p addiction withdrawal (52)

[0258] p knowledge = ω learn × p learn + ω test × p test (53)

[0259] p monitor = ω liver function × p liver function + ω blood fat × p blood fat + ω renal function × p renal function (54)

[0260] p ad j uvant = ω breathe × p breathe+ω medicine ×p medicine +ω music ×p music +ω chinese medicine ×p chinese medicine (55)

[0261] ω weight +ω blood pressure +ω blood sugar =1(56)

[0262] ω diet +ω motion +ω sleep =1(57)

[0263] ω quit smoking +ω stop drinking +ω situp +ω addiction withdrawal =1(50)

[0264] ω learn +ω test =1(58)

[0265] ω liver function +ω blood fat +ω renal function =1(59)

[0266] ω breathe +ω medicine +ω music +ω chinese medicine =1(60)

[0267] In the formula, p>0 indicates that the recorded content is positive, p = 0 indicates neutral content, and p<0 indicates negative content.

[0268] Set the weight ω for the fatty liver high-frequency risk factor test module HF , where the frequency weight of the fatty liver high-frequency risk factor test module is ω fHF , and the intervention score weight is ω pHF .

[0269] Set the weight ω for the fatty liver health intervention tool module MT , where the frequency weight of the fatty liver health intervention tool module is ω fMT , and the intervention score weight is ω pMT , as follows:

[0270] ω HF +ω MT =1(61)

[0271] ω fHF +ω pHF =1(62)

[0272] ω fMT +ω pMT =1(63)

[0273] where 0 ≤ ω HF ≤ 0.3, 0.7 ≤ ω MT ≤ 1. (64)

[0274] c4) Calculate the fatty liver high - risk factor test score L HF and the fatty liver health intervention tool score L MT , as follows:

[0275] L HF =ω fHF ×(ω living ×f living +ω misconduct ×f misconduct +ω mental ×f mental )+ω pHF ×(ω living ×p living +ω misconduct ×p misconduct +ω mental ×p mental )(65)

[0276] L MT =ω fMT ×(ω basic ×f basic +ω life-style ×f life-style +ω misbehavior ×f misbehavior +ω knowledge ×f knowledge +ω psychology ×f psychology +ω monitor ×f monitor +ω adjuvant ×f adjuvant )+ω pMT ×(ω basic ×p basic +ω life-style ×p life-style +ω misbehavior ×p misbehavior +ω knowledge ×p knowledge +ω psychology ×p psychology +ω monitor ×p monitor +ω adjuvant ×p adjuvant )(66)

[0277] ωliving +ω misconduct +ω mental =1(67)

[0278] ω basic +ω life-style +ω misbehavior +ω knowledge +ω psychology +ω monitor +ω adjuvant =1(68)

[0279] c5) Calculate the fatty liver active intervention score L as follows:

[0280] L = L HF ×ω HF +L MT ×ω MT (69)

[0281] c6) Determine that the weight of the fatty liver health index FLHI is w flhi , and the weight of the fatty liver active intervention score L is w l , as follows:

[0282] 0 ≤ w flhi ≤ 0.2(70)

[0283] 0.8 ≤ w l ≤ 1(71)

[0284] where w flhi +w l =1.

[0285] c7) Calculate the fatty liver management level index FLMI as follows:

[0286] FLMI = FLHI × w flhi +L × w l (72)

[0287] Furthermore, it also includes an intelligent hardware terminal.

[0288] The intelligent hardware terminal includes a data monitoring module, a data display module, and a wireless transmission module.

[0289] The data monitoring module of the intelligent module is used to monitor various indicators of the user, including but not limited to weight, blood pressure, blood sugar, exercise, sleep, blood lipid, and slow breathing training data, and send the data to the weight module, blood pressure module, blood sugar module, exercise module, sleep record module, blood lipid module, and breathing training module for recording through the wireless transmission module respectively.

[0290] The intelligent hardware includes but is not limited to intelligent weighing scales, intelligent sphygmomanometers, intelligent blood glucose meters, breathing trainers, intelligent pedometers, intelligent watches, and intelligent bracelets.

[0291] The technical effects of the present invention are beyond doubt. The present invention proposes a smart system and method for fatty liver health assessment and management. By screening the health conditions of users, the fatty liver health index and rating can be obtained based on the AHP-TOPSIS fuzzy comprehensive evaluation model. At the same time, according to the high-frequency risk factors of fatty liver and the usage of fatty liver health intervention tools of users, it can be converted into a fatty liver management level index. Through an incentive mechanism, users are urged to improve their lifestyle and enhance compliance; at the same time, there is a health advisor terminal, which can arrange personalized tasks to help users develop a healthy lifestyle; at the same time, there is an intelligent hardware terminal, which can connect to intelligent hardware, facilitating users to use and record. Brief Description of the Drawings

[0292] Figure 1 is the framework diagram of the user terminal of the present invention; Figure 2 is the framework diagram of the cloud server terminal of the present invention with a fatty liver management level index calculation module added; Figure 3 is the system framework diagram of the health advisor terminal of the present invention; Figure 4 is the framework diagram of the task planning module of the present invention; Figure 5 is the framework diagram of the integration module of the present invention; Figure 6 is the framework diagram of the composition of the intelligent terminal of the present invention; Figure 7 is the framework diagram of the user terminal of the present invention with a fatty liver management level index module added; Figure 8 is the framework diagram of the task planning module of the present invention; Figure 9 is the framework diagram of the health advisor terminal of the present invention with a fatty liver science popularization content creation module added; Figure 10 is the framework diagram of the health advisor terminal of the present invention with a fatty liver intelligent advisor module and a fatty liver management incentive setting module added; Figure 11 is the framework diagram of the user terminal of the present invention with an advisor management information module, a fatty liver intelligent task setting and reminder module, a fatty liver incentive module, and an index history record module added; Figure 12 is the framework diagram of the advisor management information module of the present invention; Figure 13 is the framework diagram of the fatty liver intelligent task setting and reminder module of the present invention; Figure 14 is the framework diagram of the cloud server terminal of the present invention with a fatty liver intelligent management module added; Figure 15 is the interaction diagram between the health advisor terminal and the cloud server terminal of the present invention; Figure 16 is the framework diagram of the fatty liver health assessment module of the present invention; Figure 17 is the framework diagram of the fatty liver health data collection module of the present invention; Figure 18 is the framework diagram of the fatty liver health assessment module of the present invention with a fatty liver-related disease risk assessment module added;Figure 19 It is the framework diagram of the risk assessment module for fatty liver-related diseases of the present invention; Figure 20 It is the framework diagram of the high-frequency risk factor test module for fatty liver of the present invention; Figure 21 It is the framework diagram of the high-frequency risk factor recording module for fatty liver of the present invention; Figure 22 It is the framework diagram of the data mining module added to the cloud server side of the present invention; Figure 23 It is the framework diagram of the health intervention tool module for fatty liver of the present invention; Figure 24 It is the framework diagram of the health intervention tool recording module for fatty liver of the present invention; Figure 25 It is the framework diagram of the health intervention tool recording module for fatty liver added with the fatty liver and related chronic disease monitoring module and the adjuvant treatment module of the present invention; Figure 26 It is the framework diagram of the intelligent hardware terminal system of the present invention; Figure 27 It is the fatty liver health index calculation and rating module of the present invention; Figure 28 It is the working flow chart of the AHP-TOPSIS fatty liver health index system of the present invention; Figure 29 It is the working flow chart of the AHP-TOPSIS fuzzy comprehensive evaluation system for fatty liver health rating of the present invention; Figure 30 It is the working flow chart of the AHP-TOPSIS fatty liver management level index system of the present invention; Figure 31 It is the flow chart of the first calculation method of the fatty liver management level index of the present invention; Figure 32 It is the flow chart of the second calculation method of the fatty liver management level index of the present invention; Figure 33 It is the flow chart of the third calculation method of the fatty liver management level index of the present invention;

[0293] In the figure, intelligent terminal 1, cloud server 2, user terminal 3, health advisor terminal 4, switching module 5, integration module 6, fatty liver health data processing module 21, fatty liver health index calculation and rating module 211, data preprocessing module 2111, weight assignment module 2112, health rating module 2113, fatty liver management level index calculation module 212, fatty liver intelligent management module 213, data mining module 214, data transmission module 22, data storage module 23, fatty liver health assessment module 31, fatty liver health index rating module 311, fatty liver health data collection module 3111, fatty liver health index rating result display module 3112, basic information collection module 31111, disease history collection module 31112, family medical history collection module 31113, lifestyle collection module 31114, physical health condition collection module 31115, fatty liver related disease risk assessment module 312, metabolic fatty liver hepatitis risk assessment module 3121, liver fibrosis risk assessment module 3122, liver cirrhosis risk assessment module 3123, hepatocellular carcinoma risk assessment module 3124, metabolic syndrome risk assessment module 3125, diabetes risk assessment module 3126, cardiovascular disease risk assessment module 3127, chronic kidney disease risk assessment module 3128, fatty liver high-frequency risk factor test module 32, fatty liver health intervention tool module 33, fatty liver management level index module 34, advisor management information module 35, advisor query and addition module 351, advisor information query and evaluation module 352, advisor suggestion view module 353, advisor consultation desk module 354, task management module 355, my task query module 3551, task evaluation query module 3552, user information reminder module 356, fatty liver intelligent task setting and reminder module 36, fatty liver intelligent personalized life plan module 361, fatty liver intelligent knowledge education module 362, fatty liver intelligent reminder module 363, fatty liver intelligent management report module 364, fatty liver incentive module 37, index history record module 38, user management module 41, my customer module 411, release suggestion module 412, task plan formulation module 413, task item selection module 4131, task duration selection module 4132, task execution frequency selection module 4133, task execution precautions module 4134, fatty liver task template module 4135, basic task template formulation module 41351, template-based task plan formulation module 41352, evaluation task module 414, user consultation module 415, advisor information reminder module 42, personal center module 43, fatty liver science popularization content creation module 44, fatty liver science popularization knowledge push module 441, sharing module 442, fatty liver intelligent advisor module 45, fatty liver management incentive setting module 46, fatty liver high-frequency risk factor ranking module 321, fatty liver high-frequency risk factor record module 322, fatty liver high-frequency risk factor increase and decrease module 323Automatically sorting module 3211 for high-frequency risk factors of fatty liver, manually sorting module 3212 for high-frequency risk factors of fatty liver, lifestyle assessment module 3221, bad behavior assessment module 3222, mental health assessment module 3223, diet assessment module 32211, exercise volume assessment module 32212, sleep assessment module 32213, appetite assessment module 322111, food intake assessment module 322112, alcohol consumption assessment module 32221, smoking assessment module 32222, stress assessment module 32231, emotion assessment module 32232, sorting module 331 for fatty liver health intervention tools, recording module 332 for fatty liver health intervention tools, increasing and decreasing module 333 for fatty liver health intervention tools, automatically sorting module 3311 for fatty liver health intervention tools, manually sorting module 3312 for fatty liver health intervention tools, basic physiological parameter module 3321, lifestyle improvement module 3322, bad behavior control module 3323, learning and training module 3324 for fatty liver health literacy, mental module 3325, weight module 33211, blood pressure module 33212, blood glucose module 33213, diet module 33221, exercise module 33222, sleep module 33223, smoking cessation module 33231, alcohol abstinence module 33232, staying up late withdrawal module 33233, addiction withdrawal module 33234, learning module 33241 for fatty liver health literacy, evaluation module 33242 for fatty liver health literacy, monitoring module 3326 for fatty liver and related chronic diseases, adjuvant treatment module 3327, liver function record module 33261, blood lipid module 33262, kidney function record module 33263, breathing training module 33271, taking medicine module 33272, music therapy module 33273, traditional Chinese medicine health module 33274, intelligent hardware terminal 7, data monitoring module 71, data display module 72, wireless transmission module 73. Detailed implementation manners

[0294] The present invention will be further described below in conjunction with embodiments, but it should not be understood that the above-mentioned subject scope of the present invention is limited to the following embodiments. Without departing from the above-mentioned technical idea of the present invention, various substitutions and changes made according to ordinary technical knowledge and customary means in the art should be included within the protection scope of the present invention.

[0295] Embodiment 1:

[0296] Refer to Figures 1 to 33 , a smart system for fatty liver health assessment and management, comprising: an intelligent terminal 1 and a cloud server terminal 2;

[0297] The intelligent terminal 1 includes a user terminal 3, and the user terminal 3 includes a fatty liver health assessment module 31, a high-frequency risk factor test module 32 for fatty liver, and a fatty liver health intervention tool module 33;

[0298] The fatty liver health assessment module 31 conducts a health assessment on the user to obtain health data;

[0299] The fatty liver high-frequency risk factor test module 32 conducts a self-test assessment of high-frequency risk factors on the user to obtain self-test data;

[0300] The fatty liver health intervention tool module 33 intervenes in the prevention and control of fatty liver according to the high-frequency factors of fatty liver to obtain intervention behavior data;

[0301] The cloud server 2 includes a fatty liver health data processing module 21, a data transmission module 22, and a data storage module 23;

[0302] The fatty liver health data processing module 21 calculates the fatty liver health index and rating of the user through basic data, self-test data, and intervention behavior data;

[0303] The data transmission module 22 is used for data interaction with the smart terminal 1;

[0304] The data storage module 23 is used to store the data of the smart terminal 1 and the cloud server 2.

[0305] Embodiment 2:

[0306] See Figures 1 to 33 , a fatty liver health assessment and management intelligent system, the technical content is the same as that of Embodiment 1. Further, the smart terminal 1 further includes a health advisor terminal 4;

[0307] The health advisor terminal 4 includes a user management module 41, an advisor information reminder module 42, and a personal center module 43;

[0308] The user management module 41 includes my customer module 411, advice publishing module 412, task plan formulation module 413, task evaluation module 414, and user consultation module 415;

[0309] The my customer module 411 is used to record the information of different users, and the information includes the personal information of the customer, the vitality index, the current task status, and the task details; the task details include the basic information of the task and the task menu;

[0310] The advice publishing module 412 is for the advisor to publish advice to the user, and the advice includes but is not limited to psychology, nutrition, sleep, and exercise;

[0311] The task plan formulation module 413 is used to formulate health tasks for the user;

[0312] The task planning module 413 includes a task item selection module 4131, a task duration selection module 4132, a task execution frequency selection module 4133, and a task execution precautions module 4134;

[0313] The task item selection module 4131 includes one or more of the following combinations: a fatty liver high-frequency risk factor test module 32 and a fatty liver health intervention tool module 33;

[0314] The task duration selection module 4132 is used to formulate the number of time periods required for the user to execute the task;

[0315] The task execution frequency selection module 4133 is used to select the frequency of task execution;

[0316] The precautions module 4134 is used to elaborate on the precautions during the execution of each task;

[0317] The task evaluation module 414 is for the advisor to conduct text evaluation and grade evaluation on the task execution situation of the user;

[0318] The user consultation module 415 is for the advisor to reply to the questions consulted by the user;

[0319] The advisor information reminder module 42 is used to remind the advisor that new messages have been delivered. The types of new messages include task end reminder, consultation information reminder, advisor addition reminder, and customer complaint reminder;

[0320] The personal center module 43 is used for professional registration, viewing, and editing personal information.

[0321] Example 3:

[0322] See Figures 1 to 33 , a fatty liver health assessment and management intelligent system, the technical content is the same as any one of Examples 1-2. Further, the intelligent terminal 1 further includes a switching module 5 and an integration module 6;

[0323] The user side 3 and the health advisor side 4 are switched through the switching module 5;

[0324] The user side 3, the health advisor side 4, and the switching module 5 are encapsulated in the integration module 6.

[0325] Example 4:

[0326] See Figures 1 to 33 , a fatty liver health assessment and management intelligent system, the technical content is the same as any one of Examples 1-3. The user side 3 and the health advisor side 4 are respectively on different intelligent terminals 1;

[0327] The client 3 and the health advisor terminal 4 operate independently and communicate with the cloud server terminal respectively.

[0328] Example 5:

[0329] Refer to Figures 1 to 33 , a fatty liver health assessment and management intelligent system, with the technical content being the same as any one of Examples 1-4. The client 3 further includes a fatty liver management level index module 34;

[0330] The fatty liver management level index module 34 is used to display the fatty liver management level index, development trend, and prevention and control key points of the user;

[0331] The prevention and control key points are determined according to the scores of the fatty liver high-frequency risk factor test module;

[0332] The fatty liver management level index is calculated by the fatty liver management level index calculation module 212 and transmitted to the fatty liver management level index module 34 for display through the data transmission module 22.

[0333] Example 6:

[0334] Refer to Figures 1 to 33 , a fatty liver health assessment and management intelligent system, with the technical content being the same as any one of Examples 1-5. The task plan formulation module 413 further includes a fatty liver task template module 4135;

[0335] The fatty liver task template module 4135 includes a basic task template formulation module 41351 and a task plan formulation module 41352 based on the template;

[0336] The basic task template formulation module 41351 is used for the advisor to formulate a new task template;

[0337] The task plan formulation module 41352 based on the template is used for the advisor to call the template in the data storage module 23 and modify it.

[0338] Example 7:

[0339] Refer to Figures 1 to 33 , a fatty liver health assessment and management intelligent system, with the technical content being the same as any one of Examples 1-6. The health advisor terminal 4 further includes a fatty liver science popularization content creation module 44 and a fatty liver management incentive setting module 46;

[0340] The fatty liver science popularization content creation module 44 is used for the advisor to create fatty liver science popularization knowledge, and the forms include but are not limited to pictures, texts, and videos;

[0341] The fatty liver science popularization knowledge is saved to the data storage module 23 in the cloud server terminal 2 through the data transmission module 22;

[0342] The fatty liver science popularization content creation module 44 further includes a fatty liver science popularization knowledge push module 441 and a sharing module 442;

[0343] The fatty liver science popularization knowledge push module 441 is used to select fatty liver science popularization knowledge suitable for users and perform precise push; the selected fatty liver science popularization knowledge is sent to the user terminal 3 through the data transmission module 22 and saved in the data storage module 23 in the cloud server terminal 2;

[0344] The sharing module 442 is used to share the created fatty liver science popularization knowledge to various platforms;

[0345] The fatty liver management incentive setting module 46 is used for the consultant to set incentive measures for users, and the incentive measures include but are not limited to integral rewards, virtual assets, playing set sound effects, popping up custom pop-up windows, and the pop-up window content includes but is not limited to custom text, pictures, and voice content.

[0346] Example 8:

[0347] See Figures 1 to 33 , a fatty liver health assessment and management intelligent system, the technical content is the same as any one of Examples 1-7, and the user terminal 3 further includes a consultant management information module 35, a fatty liver incentive module 37, and an index history record module 38;

[0348] The consultant management information module 35 includes a consultant query and addition module 351, a consultant information query and evaluation module 352, a consultant advice viewing module 353, a consultant consultation desk module 354, a task management module 355, and a user information reminder module 356;

[0349] The consultant query and addition module 351 is used to add consultants;

[0350] The consultant information query and evaluation module 352 includes the personal information of the consultant, the importance level of the consultant, and service complaint options;

[0351] The consultant advice viewing module 353 is used to view the advice given by the consultant;

[0352] The consultant consultation desk module 354 is used to consult the consultant about relevant health problems and view the consultant's consultation replies;

[0353] The task management module 355 is used to view tasks and task evaluation situations;

[0354] The task management module 355 includes a my task query module 3551 and a task evaluation query module 3552;

[0355] The my task query module 3551 is used to display the user's tasks for today;

[0356] The task evaluation query module 3552 is used to view the evaluations of the tasks completed by the consultant himself / herself;

[0357] The user information reminder module 356 is used to display the reminder information sent by the consultant;

[0358] The fatty liver incentive module 37 is used to display the incentive measures when the user completes the health tasks. The incentive measures include but are not limited to integral rewards, virtual assets, playing the set sound effects, popping up a custom pop-up window, and the content of the pop-up window includes but is not limited to custom text, pictures, and voice content;

[0359] The index history record module 38 is used to display the fatty liver health index, fatty liver management level index and change trend of the user.

[0360] Example 9:

[0361] See Figures 1 to 33 , a fatty liver health assessment and management intelligent system, the technical content is the same as any one of Examples 1-8, and the user terminal 3 further includes a fatty liver intelligent task setting and reminder module 36;

[0362] The fatty liver intelligent task setting and reminder module 36 includes a fatty liver intelligent personalized life plan module 361, a fatty liver intelligent knowledge education module 362, a fatty liver intelligent reminder module 363 and a fatty liver intelligent management report module 364;

[0363] The fatty liver intelligent personalized life plan module 361 is used to display the generated personalized life plan and tasks;

[0364] The fatty liver intelligent personalized life plan module 361 includes an intelligent personalized life plan display module 3611 and a personalized life plan manual modification module 3612;

[0365] The intelligent personalized life plan display module 3611 is used to display the personalized life plan generated by the fatty liver intelligent management module 213;

[0366] The personalized life plan manual modification module 3612 is used for the user to manually modify the generated personalized life plan to complete a new personalized life plan;

[0367] The fatty liver intelligent knowledge education module 362 is used to display personalized fatty liver-related knowledge;

[0368] The fatty liver intelligent consultant reminder module 363 is used to remind the user to complete the tasks issued by the intelligent consultant;

[0369] The fatty liver intelligent management report module 364 is used to display the automatically generated fatty liver management report, including the user's fatty liver condition, weight change, and fatty liver management situation.

[0370] Example 10:

[0371] See Figures 1 to 33 , a fatty liver health assessment and management intelligent system, with the technical content being the same as any one of Examples 1-9. The health advisor terminal 3 further includes a fatty liver intelligent advisor module 45;

[0372] The fatty liver intelligent advisor module 45 is used to provide the user with an intelligent AI advisor different from human advisors. Whether the user adds a human advisor or not, it can issue tasks to the user, recommend personalized lifestyle plans and fatty liver popular science knowledge.

[0373] Example 11:

[0374] See Figures 1 to 33 , a fatty liver health assessment and management intelligent system, with the technical content being the same as any one of Examples 1-10. The fatty liver health data processing module 21 further includes a fatty liver intelligent management module 213;

[0375] The fatty liver intelligent management module 213 is used to generate the user's personalized lifestyle plan, recommended fatty liver popular science knowledge, and fatty liver management summary report, which are transmitted to the fatty liver intelligent task setting and reminder module 36 and the fatty liver intelligent advisor module 45 through the data transmission module 22, and stored in the data storage module 23.

[0376] Example 12:

[0377] See Figures 1 to 33 , a fatty liver health assessment and management intelligent system, with the technical content being the same as any one of Examples 1-11. The fatty liver health assessment module 31 includes a fatty liver health index rating module 311;

[0378] The fatty liver health index rating module 311 conducts a health assessment on healthy people to obtain the fatty liver health index rating;

[0379] The fatty liver health index rating module 311 includes a fatty liver health data collection module 3111 and a fatty liver health index rating result display module 3112;

[0380] The fatty liver health data collection module 3111 includes a basic information collection module 31111, a disease history collection module 31112, a family medical history collection module 31113, a lifestyle collection module 31114, and a physical health condition collection module 31115;

[0381] The basic information collection module 31111 is used to collect the basic information of the user, with a weight of W information ;

[0382] The disease history collection module 31112 is used to collect data on the user's history of metabolic diseases, cardiovascular diseases, digestive system diseases, and endocrine diseases, with a weight of W illness ;

[0383] The family history collection module 31113 is used to collect data on the user's family history related to obesity, diabetes, hyperlipidemia, and other metabolic diseases, with a weight of W family ;

[0384] The living habit collection module 31114 is used to collect the living habit situation of the user, with a weight of W habits ;

[0385] The physical health condition collection module 31115 is used to collect the physical health condition of the user, with a weight of W physical ;

[0386] The fatty liver health index rating result display module 3112 includes a low-risk population module, a medium-risk population module, a high-risk population module, a mild fatty liver module, a moderate fatty liver module, and a severe fatty liver module;

[0387] The data collected by the fatty liver health data collection module 3111 is transmitted through the data transmission module 22 to the fatty liver health data processing module 21 for data processing;

[0388] Example 13:

[0389] See Figures 1 to 33 , a fatty liver health assessment and management intelligent system, the technical content is the same as any one of Examples 1-12, and the fatty liver health assessment module 31 further includes a fatty liver-related disease risk assessment module 312;

[0390] The fatty liver-related disease risk assessment module 312 conducts a risk assessment of fatty liver-related diseases on healthy people and / or fatty liver patients to obtain fatty liver-related disease risk data.

[0391] The fatty liver-related disease risk assessment module 312 includes a risk assessment module 3121 for metabolic steatohepatitis, a risk assessment module 3122 for liver fibrosis, a risk assessment module 3123 for liver cirrhosis, a risk assessment module 3124 for hepatocellular carcinoma, a risk assessment module 3125 for metabolic syndrome, a risk assessment module 3126 for diabetes, a risk assessment module 3127 for cardiovascular diseases, and a risk assessment module 3128 for chronic kidney diseases;

[0392] The metabolic steatohepatitis risk assessment module 3121 is used to assess the risk of non-alcoholic steatohepatitis in users;

[0393] The liver fibrosis risk assessment module 3122 is used to assess the risk of liver fibrosis in users;

[0394] The liver cirrhosis risk assessment module 3123 is used to assess the risk of liver cirrhosis in users;

[0395] The hepatocellular carcinoma risk assessment module 3124 is used to assess the risk of hepatocellular carcinoma in users;

[0396] The metabolic syndrome risk assessment module 3125 is used to assess the risk of metabolic syndrome in users;

[0397] The diabetes risk assessment module 3126 is used to assess the risk of diabetes in users;

[0398] The cardiovascular disease risk assessment module 3127 is used to assess the risk of cardiovascular diseases in users;

[0399] The chronic kidney disease risk assessment module 3128 is used to assess the risk of chronic kidney disease in users.

[0400] Example 14:

[0401] See Figures 1 to 33 , a fatty liver health assessment and management intelligent system, the technical content of which is the same as any one of Examples 1-13. By using the fatty liver high-frequency risk factor test module 32 to evaluate users, the evaluation situation of users can be obtained and transmitted to the fatty liver management level index calculation module 212 through the data transmission module 22, and the final fatty liver management level index can be calculated;

[0402] The fatty liver health data processing module 21 further includes a data mining module 214;

[0403] The data mining module 214 is used to automatically analyze the integrated data set, summarize the rules for effective fatty liver management, and assign corresponding scores to users according to the mined rules and the results of user evaluation or records;

[0404] The fatty liver high-frequency risk factor test module 32 includes a fatty liver high-frequency risk factor sorting module 321, a fatty liver high-frequency risk factor recording module 322, and a fatty liver high-frequency risk factor increasing and decreasing module 323;

[0405] The fatty liver high-frequency risk factor sorting module 321 is used to sort the fatty liver high-frequency risk factors according to requirements;

[0406] The fatty liver high-frequency risk factor ranking module 321 includes a fatty liver high-frequency risk factor automatic ranking module 3211 and a fatty liver high-frequency risk factor manual ranking module 3212;

[0407] The fatty liver high-frequency risk factor automatic ranking module 3211 ranks the fatty liver high-frequency risk factors from largest to smallest according to their weights;

[0408] The weights of the fatty liver high-frequency risk factors are determined and set by the system;

[0409] The fatty liver high-frequency risk factor manual ranking module 3212 is used for the user to manually set the personalized order of the fatty liver high-frequency risk factors according to their own needs;

[0410] The fatty liver high-frequency risk factor recording module 322 is used for the user to evaluate and record the levels of the fatty liver high-frequency risk factors according to their own situations;

[0411] The fatty liver high-frequency risk factor recording module 322 includes, but is not limited to, a lifestyle evaluation module 3221, a bad behavior evaluation module 3222, and a mental health evaluation module 3223;

[0412] The lifestyle evaluation module 3221 is used to hierarchically evaluate the user's lifestyle, including, but not limited to, a diet evaluation module 32211, an exercise volume evaluation module 32212, and a sleep evaluation module 32213; The weight of the lifestyle evaluation module is ω living , with a usage frequency of f living , and the user's score is p living ;

[0413] The diet evaluation module 32211 is obtained by the user hierarchically evaluating the diet according to their own diet conditions on the same day; The weight of the diet evaluation module is ω eating , with a recorded usage frequency of f eating , and the user's score is p eating ;

[0414] The diet evaluation module 32211 includes an appetite evaluation module 322111 and a food intake evaluation module 322112;

[0415] The appetite evaluation module 322111 is obtained by the user hierarchically evaluating the appetite according to their own appetite conditions on the same day; The weight of the appetite evaluation module is ω appetite , with a recorded usage frequency of f appetite , and the user's score is p appetite ;

[0416] The food intake evaluation module 322112 is obtained by the user hierarchically evaluating the food intake according to their own food intake conditions on the same day; The weight of the food intake evaluation module is ωfoodintake Record the usage frequency as f foodintake The user score is p foodintake ;

[0417] The exercise amount evaluation module 32212 is obtained by the user's grading evaluation of the exercise amount according to the user's own exercise status on the same day; the weight of the exercise amount evaluation module is ω exercisevolume Record the usage frequency as f exercisevolume The user score is p exercisevolume ;

[0418] The sleep evaluation module 32213 is obtained by the user's grading evaluation of the sleep according to the user's own sleep status on the same day; the weight of the sleep evaluation module is ω kip Record the usage frequency as f kip The user score is p kip ;

[0419] The bad behavior evaluation module 3222 is used to grade and evaluate the user's bad behaviors, including but not limited to the alcohol consumption evaluation module 32221 and the smoking evaluation module 32222; the weight of the bad behavior evaluation module is ω misconduct Record the usage frequency as f misconduct The user score is p misconduct ;

[0420] The alcohol consumption evaluation module 32221 is obtained by the user's grading evaluation of the alcohol consumption according to the user's own alcohol consumption status on the same day; the weight of the alcohol consumption evaluation module is ω dronl Record the usage frequency as f drink The user score is p dronl ;

[0421] The smoking evaluation module 32222 is obtained by the user's grading evaluation of the smoking according to the user's own smoking status on the same day; the weight of the smoking evaluation module is ω tobacco Record the usage frequency as f tobacco The user score is p tobacco ;

[0422] The mental health evaluation module 3223 is used to grade and evaluate the user's mental health, including but not limited to the stress evaluation module 32231 and the emotion evaluation module 32232; the weight of the mental health evaluation module is ω mental Record the usage frequency as f mental The user score is p mental ;

[0423] The stress evaluation module 32231 is obtained by the user's grading evaluation of the stress according to the user's own stress status on the same day; the weight of the stress evaluation module is ω pressure, the usage frequency is recorded as f pressure , the user score is p pressure ;

[0424] The emotion evaluation module 32232 is obtained by the user's grading evaluation of emotions according to the user's mood on the same day; the weight of the emotion evaluation module is ω mood , the usage frequency is recorded as f mood , the user score is p mood ;

[0425] The grading evaluation includes evaluation indicators that decrease in order from excellent to poor, including but not limited to being divided into five levels and seven levels;

[0426] The user score is determined by the data mining module 214 according to the evaluation indicators selected by the user and transmitted to the fatty liver management level index calculation module 212;

[0427] The fatty liver high-frequency risk factor increase and decrease module 323 is used for the user to increase or decrease fatty liver high-frequency risk factors according to their own needs, and customize the personalized fatty liver high-frequency risk factor test module 32.

[0428] Example 15:

[0429] See Figures 1 to 33 , a fatty liver health assessment and management intelligent system, the technical content is the same as any one of Examples 1-14. Through the fatty liver health intervention tool module 33, the user can be intervened, and the usage situation of each module by the user can be obtained, and the usage situation is transmitted to the fatty liver management level index calculation module 212 through the data transmission module 22, and the final fatty liver management level index is calculated;

[0430] The fatty liver health intervention tool module 33 includes a fatty liver health intervention tool sorting module 331, a fatty liver health intervention tool recording module 332, and a fatty liver health intervention tool increase and decrease module 333;

[0431] The fatty liver health intervention tool sorting module 331 is used to sort the fatty liver health intervention tools according to requirements;

[0432] The fatty liver health intervention tool sorting module 331 includes a fatty liver health intervention tool automatic sorting module 3311 and a fatty liver health intervention tool manual sorting module 3312;

[0433] The fatty liver health intervention tool automatic sorting module 3311 sorts according to the weight of the fatty liver health intervention tool from large to small;

[0434] The weight of the fatty liver health intervention tool is determined and set by the system;

[0435] The manual sorting module 3312 of the fatty liver health intervention tool is used for the user to manually set the personalized order of the fatty liver health intervention tool according to their own needs;

[0436] The recording module 332 of the fatty liver health intervention tool is used to record the usage situation of the user for the fatty liver health intervention tool and conduct health intervention on the user;

[0437] The recording module 332 of the fatty liver health intervention tool includes but is not limited to the basic physiological parameter module 3321, the lifestyle improvement module 3322, the bad behavior control module 3323, the fatty liver health literacy learning and training module 3324, and the psychological module 3325;

[0438] The basic physiological parameter module 3321 is used to record the basic physiological parameters of the user, including weight, blood pressure, and blood sugar; the weight of the basic physiological parameter module is ω basic , the recording usage frequency is f basic , the user score is p basic ;

[0439] The basic physiological parameter module 3321 includes a weight module 33211, a blood pressure module 33212, and a blood sugar module 33213;

[0440] The weight module 33211 is used to record the weight of the user and the change trend of the weight; the weight of the weight module is ω weight , the recording usage frequency is f weight , the user score is p weight ;

[0441] The blood pressure module 33212 is used to record the high blood pressure, low blood pressure, heart rate of the user and the recent change trend, and conduct blood pressure management on the user; the weight of the blood pressure module is ω blood pressure , the recording usage frequency is f blood pressure , the user score is p blood pressure ;

[0442] The blood sugar module 33213 is used to record the blood sugar value of the user and the change trend of the blood sugar, and conduct blood sugar management on the user; the weight of the blood sugar module is ω blood sugar , the recording usage frequency is f blood sugar , the user score is p blood sugar ;

[0443] The lifestyle management module 3322 is used to record the lifestyle of the user; the weight of the lifestyle management module is ω life-style , the recording usage frequency is f life-style , the user score is p life-style ;

[0444] The lifestyle management module 3322 includes a diet module 33221, an exercise module 33222, and a sleep module 33223;

[0445] The diet module 33221 is used to record the user's dietary collocation, food intake, eating habits, and conduct diet management for the user; the weight of the diet module is ω diet , the recording usage frequency is f diet , the user score is p diet ;

[0446] The exercise module 33222 is used to record the user's exercise situation and the corresponding exercise level, and conduct exercise management for the user; the weight of the exercise module is ω motion , the recording usage frequency is f motion , the user score is p motion ;

[0447] The sleep module 33223 is used to record the user's sleep situation and conduct sleep management for the user; the weight of the sleep module is ω sleep , the recording usage frequency is f sleep , the user score is p sleep ;

[0448] The bad behavior control module 3323 is used to record the user's bad behavior situation; the weight of the bad behavior control module is ω misbehavior , the recording usage frequency is f misbehavior , the user score is p misbehavior ;

[0449] The bad behavior control module 3323 includes a smoking cessation module 33231, an alcohol abstinence module 33232, a staying-up-late withdrawal module 33233, and an addiction withdrawal module 33234;

[0450] The smoking cessation module 33231 is used to record the user's smoking situation and conduct smoking cessation management for the user; the weight of the smoking cessation module is ω quit smoking , the recording usage frequency is f quit smoking , the user score is p quit smoking ;

[0451] The alcohol abstinence module 33232 is used to record the user's drinking situation and conduct alcohol abstinence management for the user; the weight of the alcohol abstinence module is ω stop drinking , the recording usage frequency is f stop drinking , the user score is p stop drinking ;

[0452] The staying-up-late withdrawal module 33233 is used to record the user's staying-up-late situation and conduct staying-up-late management for the user; the weight of the staying-up-late withdrawal module is ω situp , the recording usage frequency is fsitup and the user score is p situp ;

[0453] The addiction withdrawal module 33234 is used to record the user's mobile phone usage and manage the user's addiction; the weight of the addiction withdrawal module is ω addiction withdrawal and record the usage frequency as f addiction withdrawal and the user score is p addiction withdrawal ;

[0454] The fatty liver health literacy learning and training module 3324 is used to improve the user's fatty liver health literacy; the weight of the fatty liver health literacy learning and training module is ω knowledge and record the usage frequency as f knowledge and the user score is p knowledge ;

[0455] The fatty liver health literacy learning and training module 3324 includes a fatty liver health literacy learning module 33241 and a fatty liver health literacy evaluation module 33242;

[0456] The fatty liver health literacy learning module 33241 is used to provide the user with knowledge related to fatty liver; the weight of the fatty liver health literacy learning module is ω learn and record the usage frequency as f learn and the user score is p learn ;

[0457] The fatty liver health literacy evaluation module 33242 is used to test the user's learning situation of knowledge related to fatty liver; the weight of the fatty liver health literacy evaluation module is ω test and record the usage frequency as f test and the user score is p test ;

[0458] The psychology module 3325 is used to record the user's psychological situation and manage the user's psychology; the weight of the psychology module is ω psychology and record the usage frequency as f psychology and the user score is p psychology ;

[0459] The user score is determined by the data mining module 214 according to the content uploaded by the user and transmitted to the fatty liver management level index calculation module 212;

[0460] The fatty liver health intervention tool increase and decrease module 333 is used for the user to increase or decrease the fatty liver health intervention tools according to their own needs and customize the personalized fatty liver health intervention tool module 33.

[0461] Example 16:

[0462] SeeFigures 1 to 33 A smart system for the health assessment and management of fatty liver, with the technical content being the same as any one of Embodiments 1 - 15. The fatty liver health intervention tool recording module 332 further includes a fatty liver and related chronic disease monitoring module 3326 and an adjuvant treatment module 3327;

[0463] The fatty liver and related chronic disease monitoring module 3326 is used to record and monitor the conditions of the fatty liver and related chronic disease indicators of the user; the weight of the fatty liver and related chronic disease monitoring module is ω monitor The recording usage frequency is f monitor The user score is p monitor ;

[0464] The fatty liver and related chronic disease monitoring module 3326 includes a liver function recording module 33261, a blood lipid module 33262, and a kidney function recording module 33263;

[0465] The liver function recording module 33261 is used to record the liver function condition of the user, including biochemical examination results and / or imaging examination results, and manage the liver function of the user; the weight of the liver function recording module is ω liver function The recording usage frequency is f liver function The user score is p liver function ;

[0466] The blood lipid module 33262 is used to record the blood lipid condition of the user, including triglyceride, total cholesterol, low - density lipoprotein cholesterol, and high - density lipoprotein cholesterol, and manage the blood lipid of the user; the weight of the blood lipid module is ω blood fat The recording usage frequency is f blood fat The user score is p blood fat ;

[0467] The kidney function recording module 33263 is used to record the uric acid, creatinine, and urea conditions of the user, and manage the kidney function of the user; the weight of the kidney function recording module is ω renal function The recording usage frequency is f renal function The user score is p renal function ;

[0468] The adjuvant treatment module 3327 is used to record the adjuvant treatment conditions related to the user's fatty liver; the weight of the adjuvant treatment module is ω adjuvant The recording usage frequency is f adjuvant The user score is p adjuvant ;

[0469] The adjuvant treatment module 3327 includes a breathing training module 33271, a medication module 33272, a music therapy module 33273, and a traditional Chinese medicine health module 33274;

[0470] The breathing training module 33271 is used to record the user's breathing training situation and manage the user's breathing training; the weight of the breathing training module is ω breathe , and the usage frequency is recorded as f breathe , and the user score is p breathe ;

[0471] The medication module 33272 is used to record the user's medication situation and manage the user's medication; the weight of the medication module is ω medicine , and the usage frequency is recorded as f medicine , and the user score is p medicine ;

[0472] The music therapy module 33273 is used to record the user's music therapy situation and conduct music conditioning for the user; the weight of the music therapy module is ω music , and the usage frequency is recorded as f music , and the user score is p music ;

[0473] The traditional Chinese medicine health module 33274 is used to record the user's traditional Chinese medicine diagnosis and treatment situation, including but not limited to tongue diagnosis and syndrome differentiation, and conduct traditional Chinese medicine conditioning for the user; the weight of the traditional Chinese medicine health module is ω chinese medicine , and the usage frequency is recorded as f chinese medicine , and the user score is p chinese medicine .

[0474] Example 17:

[0475] Refer to Figures 1 to 33 , a fatty liver health assessment and management intelligent system, the technical content is the same as any one of Examples 1-16, and further includes an intelligent hardware terminal 7;

[0476] The intelligent hardware terminal 7 includes a data monitoring module 71, a data display module 72, and a wireless transmission module 73;

[0477] The data monitoring module 71 of the intelligent module 7 is used to monitor various indicators of the user, including but not limited to weight, blood pressure, blood sugar, exercise, sleep, blood lipid, and slow breathing training data, and send the data to the weight module 33211, blood pressure module (33212), blood sugar module (33213), exercise module (33222), sleep record module (33223), blood lipid module (33262), and breathing training module (33271) respectively through the wireless transmission module 73 for recording. The intelligent hardware includes but not limited to intelligent weighing scales, intelligent sphygmomanometers, intelligent blood glucose meters, breathing trainers, intelligent pedometers, intelligent watches, and intelligent bracelets.

[0478] Example 18:

[0479] Refer toFigures 1 to 33 , an intelligent system for the health assessment and management of fatty liver, with the technical content being the same as any one of Embodiments 1-17. The fatty liver health data processing module 21 includes a fatty liver health index calculation and rating module 211;

[0480] The fatty liver health index calculation and rating module 211 calculates the fatty liver health data collected by the fatty liver health index rating module 311 to obtain the user's fatty liver health index;

[0481] The fatty liver health index calculation and rating module 211 includes a data preprocessing module 2111, a weight assignment module 2112, and a health rating module 2113;

[0482] The data preprocessing module 2111 normalizes and standardizes the fatty liver health data collected by the fatty liver health index rating module 311 to obtain standard data y; and transmits the standard data to the weight assignment module 2112;

[0483] The steps for the weight assignment module 2112 to process the standard data are as follows:

[0484] S1 Use the Analytic Hierarchy Process (AHP) to determine the relative weights W of each index as follows:

[0485] W = (W information , W illness , W family , W habits , W physical )

[0486] S2 Transmit the determined weights to the health rating module 2113;

[0487] The steps for the health rating module 2113 to obtain the fatty liver health index and rating through the weights output by the weight assignment module 2112 are as follows:

[0488] S21 Weighted normalization decision matrix;

[0489] S22 Determine the positive ideal solution A + and the negative ideal solution A - ;

[0490] S23 Calculate the distance d + from the positive ideal solution A + and the distance d - from the negative ideal solution A - as follows:

[0491]

[0492] where y j +Represents the value of the j-th index in the positive ideal solution, y j - Represents the value of the j-th index in the negative ideal solution, and n is the number of evaluation indicators;

[0493] S24 Calculate the relative closeness C as follows:

[0494]

[0495] S25 Analyze C to obtain the fatty liver health index FLHI;

[0496] S26 Determine the evaluation factor set U and the comment set V;

[0497] S27 Construct the fuzzy relation matrix R;

[0498] S28 Conduct fuzzy comprehensive evaluation calculation to obtain the comprehensive evaluation vector B as follows:

[0499] B = W ○ R

[0500] B = (b1, b2, …, b m )

[0501] where, ○ represents the fuzzy composition operator; W is the weight matrix;

[0502] S29 Determine the fatty liver health rating according to the membership degree and / or closeness.

[0503] Example 19:

[0504] See Figures 1 to 33 , a fatty liver health assessment and management intelligent system, the technical content is the same as any one of Examples 1-18, and the fatty liver health data processing module 21 further includes a fatty liver management level index calculation module 212;

[0505] The fatty liver management level index calculation module 212 calculates the fatty liver management level index through the self-test data collected by the fatty liver high-frequency risk factor test module 32 and the intervention behavior data collected by the fatty liver health intervention tool module 33, and / or filled in by the user according to their own situation;

[0506] The fatty liver management level index calculation module 212 further includes a function mapping module;

[0507] The function mapping module obtains the fatty liver management level index, and the steps are as follows:

[0508] S31 Select the fatty liver lifestyle data collected by the fatty liver health index rating module 311, and the corresponding index weight is w i , as follows:

[0509] ∑wi = 1

[0510] i is the number of all indicators;

[0511] S32 Determine the score s i The situation is filled in by the user or automatically generated according to the fatty liver health assessment module, fatty liver high-frequency risk factor test module, and fatty liver health management tool module;

[0512] S33 Calculate the original score S based on the weight and score as follows:

[0513] S = ∑w i × s i

[0514] S34 Determine the range of the original score. By analyzing all possible response situations, determine that the original score range is S min to S max ;

[0515] S35 Use the linear conversion formula to convert the original score into the fatty liver management level index FLMI as follows:

[0516]

[0517] Example 20:

[0518] See Figures 1 to 33 , a fatty liver health assessment and management intelligent system, the technical content is the same as any one of Examples 1-19, and the fatty liver management level index calculation module 212 includes another method;

[0519] S41 Statistically calculate the frequency of the user using the fatty liver high-frequency risk factor test module 32; f living = ω eating × f eating +

[0520] ω exercisevolume × f exercisevolume + ω kip × f kip

[0521] f eating = ω appetite × f appetite + ω foodintale × f foodintake

[0522] f misconduct = ω drink × f drink + ω tobacco × f tobacco

[0523] fmental = ω pressure × f pressure + ω mood × f mood

[0524] Wherein, ω eating + ω exercisevolume + ω kip = 1

[0525] ω foodintake + ω appetite = 1

[0526] ω pressure + ω mood = 1

[0527] ω drink + ω tobacco = 1

[0528] S42 counts and calculates the frequency of the user using the fatty liver health intervention tool module 33;

[0529] f basic = ω weight × f weight + ω blood pressure × f blood pressure + ω blood sugar × f blood sugar

[0530] f life-style = ω diet × f diet + ω motion × f motion + ω sleep × f sleep

[0531] f misbehavior = ω quit smoking × f quit smoking + ω stop drinking × f stop drinking + ω situp × f situp + ω addiction withdrawal × f addiction withdrawal

[0532] f knowledge = ω learn × f learn + ω test × f test

[0533] f monitor = ω liver function × f liver function + ω blood fat × f blood fat + ωrenal function ×f renal function

[0534] f adjuvant = ω breathe ×f breathe + ω medicine ×f medicine + ω music ×f music + ω chinese medicine ×f chinese medicine

[0535] where ω weight + ω blood pressure + ω blood sugar = 1

[0536] ω diet + ω motion + ω sleep = 1

[0537] ω quit smoking + ω stop drinking + ω situp + ω addiction withdrawal = 1

[0538] ω learn + ω test = 1

[0539] ω liver function + ω blood fat + ω renal function = 1

[0540] ω breathe + ω medicine + ω music + ω chinese medicine = 1

[0541] Set a weight ω for the fatty liver high-frequency risk factor test module 32 HF and a weight ω for the fatty liver health intervention tool module 33 MT as follows:

[0542] ω HF + ω MT = 1

[0543] where 0 ≤ ω HF ≤ 0.3, 0.7 ≤ ω MT ≤ 1;

[0544] S44 calculates the fatty liver high-frequency risk factor test score L HF and the fatty liver health intervention tool score L MT as follows:

[0545] L HF = ωliving ×f living +ω misconduct ×f misconduct +ω mental ×f mental

[0546] L MT =ω basic ×f basic +ω life-style ×f life-style +ω misbehavior ×f misbehavior +ω knowledge ×f knowledge +ω psychology ×f psychology +ω monitor ×f monitor +ω adjuvant ×f adjuvant

[0547] where ω living +ω misconduct +ω mental =1

[0548] ω basic +ω life-style +ω misbejavior +ω knowledge +ω psychology +ω momitor +ω adjuvant =1

[0549] S45 calculates the active intervention score L for fatty liver as follows:

[0550] L=L HF ×ω HF +L MT ×ω MT

[0551] S46 determines that the weight of the fatty liver health index FLHI is w flhi and the weight of the active intervention score L for fatty liver is w l as follows:

[0552] 0 ≤ w flhi ≤ 0.2

[0553] 0.8 ≤ w l ≤ 1

[0554] where w flhi +w l =1;

[0555] S47 calculates the fatty liver management level index FLMI as follows:

[0556] FLMI = FLHI × w flhi + L × w l

[0557] Example 21:

[0558] See Figures 1 to 33 , an intelligent system for health assessment and management of fatty liver, with the technical content being the same as any one of Examples 1 - 20. The fatty liver management level index calculation module 212 includes another calculation method;

[0559] S51 Statistically calculate the frequency and score of the user's use of the fatty liver high - frequency risk factor test module 32; f living = ω eating × f eating + ω exercisevolume × f exercisevolume + ω kip × f kip

[0560] f eating = ω appetite × f appetite + ω foodintake × f foodintake

[0561] f misconduct = ω drink × f drink + ω tobacco × f tobacco

[0562] f mental = ω pressure × f pressure + ω mood × f mood

[0563] p living = ω eating × p eating + ω exercisevolume × p exercisevolume + ω kip × p kip

[0564] p eating = ω appetite × p appetite + ω food intake × p food intake

[0565] p misconduct = ω drink × p drink + ω tobacco × p tobacco

[0566] pmental = ω pressure × p pressure + ω mood × p mood

[0567] Wherein, ω eating + ω exercisevolume + ω kip = 1

[0568] ω foodintake + ω appetite = 1

[0569] ω pressure + ω mood = 1

[0570] ω drink + ω tobacco = 1

[0571] p > 0: The recorded content is positive content; p = 0: Neutral content; p < 0: Negative content; W is the weight, f is the frequency. P is the score.

[0572] S52 counts and calculates the frequency and score of the user using the fatty liver health intervention tool module 33;

[0573] p basic = ω weight × p weight + ω blood pressure × p blood pressure + ω blood sugar × p blood sugar

[0574] p life-style = ω diet × p diet + ω motion × p motion + ω sleep × p sleep

[0575] p misbehavior = ω quit smoking × p quit smoking + ω stop drinking × p stop drinking + ω situp × p situp + ω addiction withdrawal × p addiction withdrawal

[0576] p knowledge = ω learn × p learn + ω test × p test

[0577] pmonitor = ω liver function × p liver function + ω blood fat × p blood fat + ω renal function × p renal function

[0578] p adjuvant = ω breathe × p breathe + ω medicine × p medicine + ω music × p music + ω chinese medicine × p chinese medicine

[0579] where ω weight + ω blood pressure + ω blood sugar = 1

[0580] ω diet + ω motion + ω sleep = 1

[0581] ω quit smoking + ω stop drinking + ω situp + ω addiction withdrawal = 1

[0582] ω learn + ω test = 1

[0583] ω liver function + ω blood fat + ω renal function = 1

[0584] ω breathe + ω medicine + ω music + ω chinese medicine = 1

[0585] p > 0 indicates that the recorded content is positive, p = 0 indicates neutral content, and p < 0 indicates negative content;

[0586] S53 sets a weight ω HF for the fatty liver high-frequency risk factor test module 32, where the frequency weight of the fatty liver high-frequency risk factor test module 32 is ω fHF and the intervention score weight is ω pHF sets a weight ω MT for the fatty liver health intervention tool module 33, where the frequency weight of the fatty liver health intervention tool module 33 is ω fMT and the intervention score weight is ω pMT as follows:

[0587] ω HF +ω MT =1

[0588] ω fHF +ω pHF =1

[0589] ω fMT +ω pMT =1

[0590] where 0 ≤ ω HF ≤ 0.3, 0.7 ≤ ω MT ≤ 1;

[0591] S54 calculates the fatty liver high-frequency risk factor test score L HF and the fatty liver health intervention tool score L MT as follows:

[0592] L HF =ω fHF × (ω living × f living +ω misconduct × f misconduct +ω mental × f mental ) + ω pHF × (ω living × p living +ω misconduct × p misconduct +ω mental × p mental )

[0593] L MT =ω fMT × (ω basic × f basic +ω life-style × f life-style +ω misbehavior × f misbehavior +ω knowledge × f knowledge +ω psychology × f psychology +ω monitor × f monitor +ω adjuvant × f adjuvant ) + ω pMT × (ω basic × p basic +ω life-style × p life-style +ω misbehavior × p misbehavior +ω knowledge × p knowledge +ω psychology×p psychology +ω monitor ×p monitor +ω adjuvant

[0594] where ω living +ω misconduct +ω mental = 1

[0595] ω basic +ω life-style +ω misbehavior +ω knowledge +ω psychology +ω monitor +ω adjuvant = 1

[0596] S55 calculates the fatty liver active intervention score L as follows:

[0597] L = L HF ×ω HF + L MT ×ω MT

[0598] S56 determines that the weight of the fatty liver health index FLHI is w flhi , and the weight of the fatty liver active intervention score L is w l , as follows:

[0599] 0 ≤ w flhi ≤ 0.2

[0600] 0.8 ≤ w l ≤ 1

[0601] where w flhi + w l = 1;

[0602] S57 calculates the fatty liver management level index FLMI as follows:

[0603] FLMI = FLHI × w flhi + L × w l

[0604] Example 22:

[0605] See Figures 1 to 33, a smart system for the health assessment and management of fatty liver, with the technical content being the same as any one of Embodiments 1-21. Assuming the user is a healthy person, first, collect fatty liver health data, and the collected data includes but is not limited to basic information, medical history, family medical history, lifestyle, and physical health status. Based on the AHP-TOPSIS fuzzy comprehensive evaluation system, obtain the fatty liver health index FLHI and rating. Provide the user with an intelligent AI advisor through the fatty liver intelligent advisor module, issue tasks to the user, and recommend personalized lifestyle plans and fatty liver popular science knowledge.

[0606] Assuming the user is a fatty liver patient, first, collect fatty liver health data, and the collected data includes but is not limited to basic information, medical history, family medical history, lifestyle, and physical health status. Based on the AHP-TOPSIS fuzzy comprehensive evaluation system, obtain the fatty liver health index FLHI and rating. And evaluate the risks of fatty liver-related diseases, including but not limited to the risk assessment of metabolic fatty liver hepatitis, the risk assessment of liver fibrosis, the risk assessment of liver cirrhosis, the risk assessment of hepatocellular carcinoma, the risk assessment of metabolic syndrome, the risk assessment of diabetes, the risk assessment of cardiovascular diseases, and the risk assessment of chronic kidney diseases. The user manually adds an advisor, and the advisor arranges tasks according to the user's health condition. By using high-frequency fatty liver risk factors, including but not limited to lifestyle assessment, adverse behavior assessment, and mental health assessment, and fatty liver health intervention tools, including but not limited to basic physiological parameter recording, lifestyle improvement, adverse behavior control, fatty liver health literacy learning and training, psychological conditions, fatty liver and related chronic disease monitoring, and the frequency of adjuvant treatment, calculate the fatty liver management level index FLMI, and display the user's fatty liver management level index, development trend, and prevention and control key points in the fatty liver management level index module.

[0607] Assume the user is a patient with fatty liver. First, collect fatty liver health data, including but not limited to basic information, medical history, family medical history, lifestyle, and physical health status. Based on the AHP-TOPSIS fuzzy comprehensive evaluation system, obtain the fatty liver health index FLHI and rating. And assess the risks of fatty liver-related diseases, including but not limited to the risk assessment of metabolic fatty hepatitis, liver fibrosis risk assessment, cirrhosis risk assessment, hepatocellular carcinoma risk assessment, metabolic syndrome risk assessment, diabetes risk assessment, cardiovascular disease risk assessment, and chronic kidney disease risk assessment. The user manually adds an advisor, and the advisor assigns tasks according to the user's health condition. By using high-frequency risk factors for fatty liver, including but not limited to lifestyle assessment, adverse behavior assessment, and mental health assessment, and fatty liver health intervention tools, including but not limited to basic physiological parameter recording, lifestyle improvement, adverse behavior control, fatty liver health literacy learning and training, psychological condition, fatty liver and related chronic disease monitoring, and the frequency of adjuvant treatment, calculate the fatty liver management level index FLMI based on the user's score, and display the user's fatty liver management level index, development trend, and prevention and control key points in the fatty liver management level index module. The user's score is determined by the data mining module according to the evaluation indicators selected by the user.

Claims

1. A fatty liver management level assessment system, characterized in that, Including: An intelligent terminal (1) and a cloud server (2); The intelligent terminal (1) includes a user terminal (3); The user terminal (3) includes a fatty liver health assessment module (31), a fatty liver high-frequency risk factor test module (32), and a fatty liver health intervention tool module (33); The fatty liver health assessment module (31) conducts a health assessment on the user to obtain health data; The fatty liver high-frequency risk factor test module (32) conducts a self-test assessment of high-frequency risk factors on the user to obtain self-test data; The fatty liver health intervention tool module (33) intervenes in the user's behavior of preventing and / or controlling fatty liver according to the high-frequency factors of fatty liver to obtain intervention behavior data; The cloud server (2) includes a fatty liver health data processing module (21), a data transmission module (22), and a data storage module (23); The fatty liver health data processing module (21) calculates the fatty liver health index and rating of the user through the health data, self-test data, and intervention behavior data; The data transmission module (22) is used for data interaction with the intelligent terminal (1); The data storage module (23) is used to store the data of the intelligent terminal (1) and the cloud server (2).

2. The intelligent system for fatty liver health assessment and management according to claim 1, wherein The intelligent terminal (1) further includes a health advisor terminal (4); The health advisor terminal (4) includes a user management module (41), an advisor information reminder module (42), a personal center module (43), a fatty liver science popularization content creation module (44), and a fatty liver management incentive setting module (46); The user management module (41) includes a my customers module (411), a publish advice module (412), a task plan formulation module (413), an evaluation task module (414), and a user consultation module (415); The my customers module (411) is used to record information of different users, and the information includes the personal information of the customer, the vitality index, the current task status, and the task details; the task details include the basic information of the task and the task menu; The publish advice module (412) is for the advisor to publish advice to the user, and the advice includes but is not limited to psychology, nutrition, sleep, and exercise; The task plan formulation module (413) is used to formulate health tasks for the user; The task plan formulation module (413) includes a task item selection module (4131), a task duration selection module (4132), a task execution frequency selection module (4133), a task execution precautions module (4134), and a fatty liver task template module (4135); The task item selection module (4131) includes one or more of the following combinations: the fatty liver high-frequency risk factor test module (32), the fatty liver health intervention tool module (33); The task duration selection module (4132) is used to formulate the number of time periods required for the user to execute the task; The task execution frequency selection module (4133) is used to select the frequency of task execution; The precautions module (4134) is used to elaborate on the precautions during the execution of each task; The fatty liver task template module (4135) includes a basic task template formulation module (41351) and a task plan formulation module based on the template (41352); The basic task template formulation module (41351) is used for the consultant to formulate a new task template; The task plan formulation module based on the template (41352) is used for the consultant to call and modify the template in the data storage module (23); The evaluation task module (414) is for the consultant to conduct text evaluation and grade evaluation on the task execution situation of the user; The user consultation module (415) is for the consultant to reply to the questions consulted by the user; The consultant information reminder module (42) is used to remind the consultant that new messages have been delivered. The types of new messages include task end reminder, consultation information reminder, add consultant reminder, and customer complaint reminder; The personal center module (43) is used for professional registration, viewing, and editing personal information. The fatty liver science popularization content creation module (44) is for the consultant to create fatty liver science popularization knowledge, and the forms include but are not limited to pictures, texts, and videos; The fatty liver science popularization knowledge is saved to the data storage module (23) in the cloud server (2) through the data transmission module (22); The fatty liver science popularization content creation module (44) further includes a fatty liver science popularization knowledge push module (441) and a sharing module (442); The fatty liver science popularization knowledge push module (441) is used to select suitable fatty liver science popularization knowledge for precise push; the selected fatty liver science popularization knowledge is sent to the user terminal (3) through the data transmission module (22) and saved to the data storage module (23) in the cloud server (2); The sharing module (442) is used to share the created fatty liver science popularization knowledge to various platforms; The fatty liver management incentive setting module (46) is used for the consultant to set incentive measures for the user. The incentive measures include but are not limited to integral rewards, virtual assets, playing the set sound effects, and popping up custom pop-up windows. The content of the pop-up windows includes but is not limited to custom texts, pictures, and voice contents.

3. The intelligent system for fatty liver health assessment and management according to claim 2, characterized in that The intelligent terminal (1) further includes a switching module (5) and an integration module (6); The user terminal (3) and the health consultant terminal (4) are respectively on different intelligent terminals (1); The user terminal (3) and the health consultant terminal (4) operate independently and communicate with the cloud server respectively; The user terminal (3) and the health consultant terminal (4) are switched through the switching module (5); The user terminal (3), the health consultant terminal (4), and the switching module (5) are encapsulated in the integration module (6).

4. The intelligent system for health assessment and management of fatty liver according to claim 1, characterized in that The user terminal (3) further includes a fatty liver management level index module (34), a consultant management information module (35), a fatty liver intelligent task setting and reminder module (36), a fatty liver incentive module (37), and an index history record module (38); The fatty liver management level index module (34) is used to display the fatty liver management level index, development trend, and prevention and control key points of the user; The prevention and control key points are determined according to the scores of the fatty liver high-frequency risk factor test module (32); The fatty liver management level index is calculated by the fatty liver management level index calculation module (212); The data transmission module (22) transmits the fatty liver management level index to the fatty liver management level index module (34) for display; The consultant management information module (35) includes a consultant query and addition module (351), a consultant information query and evaluation module (352), a consultant advice viewing module (353), a consultant consultation desk module (354), a task management module (355), and a user information reminder module (356); The consultant query and addition module (351) is used to add consultants; The consultant information query and evaluation module (352) includes the personal information of the consultant, the importance level of the consultant, and service complaint options; The consultant advice viewing module (353) is used to view the advice given by the consultant; The consultant consultation desk module (354) is used to consult health problems related to the consultant and view the consultant's consultation replies; The task management module (355) is used to view tasks and task evaluation situations; The task management module (355) includes a my task query module (3551) and a task evaluation query module (3552); The my task query module (3551) is used to display the user's tasks for today; The task evaluation query module (3552) is used to view the evaluation situation of the tasks completed by the consultant on himself; The user information reminder module (356) is used to display reminder information sent by the consultant; The fatty liver intelligent task setting and reminder module (36) includes a fatty liver intelligent personalized life plan module (361), a fatty liver intelligent knowledge education module (362), a fatty liver intelligent reminder module (363), and a fatty liver intelligent management report module (364); The fatty liver intelligent personalized life plan module (361) is used to display the generated personalized life plan and tasks; The fatty liver intelligent personalized life plan module (361) includes an intelligent personalized life plan display module (3611) and a personalized life plan manual modification module (3612); The intelligent personalized life plan display module (3611) is used to display the personalized life plan generated by the fatty liver intelligent management module (213); The personalized life plan manual modification module (3612) is used for the user to manually modify the generated personalized life plan to complete a new personalized life plan; The fatty liver intelligent knowledge education module (362) is used to display personalized fatty liver-related knowledge; The fatty liver intelligent consultant reminder module (363) is used to remind the user to complete the tasks issued by the intelligent consultant; The fatty liver intelligent management report module (364) is used to display the automatically generated fatty liver management report, including the user's fatty liver condition, weight change situation, and fatty liver management situation; The fatty liver incentive module (37) is used to display the incentive measures when the user completes health tasks. The incentive measures include but are not limited to integral rewards, virtual assets, playing set sound effects, and popping up custom pop-up windows. The content of the pop-up windows includes but is not limited to custom text, pictures, and voice content; The exponential history record module (38) is used to display the user's fatty liver health index, fatty liver management level index, and their change trends.

5. The intelligent system for fatty liver health assessment and management according to claim 1, wherein The health advisor terminal (3) further includes a fatty liver intelligent advisor module (45); The fatty liver intelligent advisor module (45) is used to provide an intelligent AI advisor for the user; The intelligent AI advisor issues tasks to the user, recommends personalized life plans, and popular science knowledge about fatty liver.

6. The intelligent system for fatty liver health assessment and management according to claim 1, wherein The fatty liver health assessment module (31) includes a fatty liver health index rating module (311) and a fatty liver-related disease risk assessment module (312); The fatty liver health index rating module (311) conducts a health assessment on healthy people to obtain a fatty liver health index rating; The fatty liver health index rating module (311) includes a fatty liver health data collection module (3111) and a fatty liver health index rating result display module (3112); The fatty liver health data collection module (3111) includes a basic information collection module (31111), a disease history collection module (31112), a family medical history collection module (31113), a lifestyle collection module (31114), and a physical health condition collection module (31115); The basic information collection module (31111) is used to collect the basic information of the user, with a weight of W information ; The disease history collection module (31112) is used to collect data on the user's metabolic disease history, cardiovascular disease history, digestive system disease history, and endocrine disease history, with a weight of W illness ; The family history collection module (31113) is used to collect data on the family history of obesity, diabetes, hyperlipidemia, and other metabolic diseases related to the user, with a weight of W family ; The living habit collection module (31114) is used to collect the living habit situation of the user, with a weight of W habits ; The physical health condition collection module (31115) is used to collect the physical health condition of the user, with a weight of W physical ; The fatty liver health index rating result display module (3112) includes a low-risk population module, a medium-risk population module, a high-risk population module, a mild fatty liver module, a moderate fatty liver module, and a severe fatty liver module; The data collected by the fatty liver health data collection module (3111) is transmitted through the data transmission module (22) to the fatty liver health data processing module (21) for data processing; The fatty liver-related disease risk assessment module (312) conducts a fatty liver-related disease risk assessment on healthy people and / or fatty liver patients to obtain fatty liver-related disease risk data. The fatty liver-related disease risk assessment module (312) includes a metabolic fatty liver hepatitis risk assessment module (3121), a liver fibrosis risk assessment module (3122), a liver cirrhosis risk assessment module (3123), a hepatocellular carcinoma risk assessment module (3124), a metabolic syndrome risk assessment module (3125), a diabetes risk assessment module (3126), a cardiovascular disease risk assessment module (3127), and a chronic kidney disease risk assessment module (3128); The metabolic fatty liver hepatitis risk assessment module (3121) is used to assess the user's non-alcoholic fatty liver hepatitis risk; The liver fibrosis risk assessment module (3122) is used to assess the user's liver fibrosis risk; The liver cirrhosis risk assessment module (3123) is used to assess the user's liver cirrhosis risk; The hepatocellular carcinoma risk assessment module (3124) is used to assess the user's hepatocellular carcinoma risk; The metabolic syndrome risk assessment module (3125) is used to assess the user's metabolic syndrome risk; The diabetes risk assessment module (3126) is used to assess the user's diabetes risk; The cardiovascular disease risk assessment module (3127) is used to assess the user's cardiovascular disease risk; The chronic kidney disease risk assessment module (3128) is used to assess the chronic kidney disease risk of the user. The fatty liver high-frequency risk factor test module (32) assesses the user to obtain the user's assessment situation, and transmits it to the fatty liver management level index calculation module (212) through the data transmission module (22) to calculate the final fatty liver management level index. The fatty liver high-frequency risk factor test module (32) includes a fatty liver high-frequency risk factor sorting module (321), a fatty liver high-frequency risk factor recording module (322), and a fatty liver high-frequency risk factor increasing / decreasing module (323). The fatty liver high-frequency risk factor sorting module (321) is used to sort the fatty liver high-frequency risk factors according to requirements. The fatty liver high-frequency risk factor sorting module (321) includes a fatty liver high-frequency risk factor automatic sorting module (3211) and a fatty liver high-frequency risk factor manual sorting module (3212). The fatty liver high-frequency risk factor automatic sorting module (3211) sorts the fatty liver high-frequency risk factors from largest to smallest according to their weights. The weights of the fatty liver high-frequency risk factors are determined and set by the system. The fatty liver high-frequency risk factor manual sorting module (3212) is used for the user to manually set the personalized order of the fatty liver high-frequency risk factors according to their own needs. The fatty liver high-frequency risk factor recording module (322) is used for the user to evaluate and record the levels of the fatty liver high-frequency risk factors according to their own situations. The fatty liver high-frequency risk factor recording module (322) includes, but is not limited to, a lifestyle assessment module (3221), a bad behavior assessment module (3222), and a mental health assessment module (3223). The lifestyle assessment module (3221) is used to hierarchically evaluate the user's lifestyle, including but not limited to a diet assessment module (32211), an exercise volume assessment module (32212), and a sleep assessment module (32213); the weight of the lifestyle assessment module is ω living , and the usage frequency is f living , and the user score is p living ; The diet assessment module (32211) is obtained by the user's grading and assessment of the diet according to the user's own diet condition on the same day; the weight of the diet assessment module is ω eating , and the recording usage frequency is f eating , and the user score is p eating ; The diet assessment module (32211) includes an appetite assessment module (322111) and a food intake assessment module (322112). The appetite assessment module (322111) is obtained by the user's grading and assessment of appetite according to the user's own appetite condition on the current day; the weight of the appetite assessment module is ω appetite , and the usage frequency is recorded as f appetite , and the user score is p appetite ; The food intake evaluation module (322112) is obtained by the user's grading evaluation of the food intake according to the user's own food intake status on the current day; the weight of the food intake evaluation module is ω foodintake , and the usage frequency is recorded as f foodintake , and the user score is p foodintake ; The exercise amount evaluation module (32212) is obtained by the user's grading and evaluation of the exercise amount according to the user's own exercise status on the same day; the weight of the exercise amount evaluation module is ω exercisevolume , and the recording usage frequency is f exercisevolume , and the user score is p exercisevolume ; The sleep evaluation module (32213) is obtained by the user's grading and evaluation of sleep according to the user's own sleep condition on the current day; the weight of the sleep evaluation module is ω kip , and the recording usage frequency is f kip , and the user score is p kip ; The bad behavior evaluation module (3222) is used to evaluate the bad behavior of users at different levels, including but not limited to the alcohol consumption evaluation module (32221) and the smoking evaluation module (32222); the weight of the bad behavior evaluation module is ω misconduct , and the usage frequency is recorded as f misconduct , and the user score is p misconduct ; The alcohol consumption assessment module (32221) is obtained by the user's grading and assessment of alcohol consumption according to their own alcohol consumption status on the same day; the weight of the alcohol consumption assessment module is ω drink , and the recording usage frequency is f drink , and the user score is p drink ; The smoking assessment module (32222) is obtained by the user's grading assessment of smoking according to their own smoking status on the same day; the weight of the smoking assessment module is ω tobacco , and the recording usage frequency is f tobacco , and the user score is p tobacco ; The mental health assessment module (3223) is used to hierarchically evaluate the mental health of users, including but not limited to a stress assessment module (32231) and an emotion assessment module (32232); the weight of the mental health assessment module is ω mental , and the usage frequency is recorded as f mental , and the user score is p mental ; The pressure assessment module (32231) is obtained by the user's grading assessment of the pressure according to their own pressure condition on the same day; the weight of the pressure assessment module is ω pressure , and the recording usage frequency is f pressure , and the user score is p pressure ; The emotion assessment module (32232) is obtained by the user's grading and assessment of emotions according to their mood on the same day; the weight of the emotion assessment module is ω mood , and the recording usage frequency is f mood , and the user score is p mood ; The hierarchical assessment includes evaluation indicators that decrease sequentially from excellent to poor, including, but not limited to, being divided into five levels or seven levels. The user score is determined by the data mining module (214) according to the evaluation indicators selected by the user and transmitted to the fatty liver management level index calculation module (212). The fatty liver high-frequency risk factor increasing / decreasing module (323) is used for the user to increase or decrease the fatty liver high-frequency risk factors according to their own needs to customize the personalized fatty liver high-frequency risk factor test module (32). The fatty liver health intervention tool module (33) intervenes in the user to obtain the user's usage situation of each module, and transmits the usage situation to the fatty liver management level index calculation module (212) through the data transmission module (22) to calculate the final fatty liver management level index. The fatty liver health intervention tool module (33) includes a fatty liver health intervention tool sorting module (331), a fatty liver health intervention tool recording module (332), and a fatty liver health intervention tool increasing / decreasing module (333). The fatty liver health intervention tool sorting module (331) is used to sort the fatty liver health intervention tools according to requirements. The fatty liver health intervention tool sorting module (331) includes an automatic fatty liver health intervention tool sorting module (3311) and a manual fatty liver health intervention tool sorting module (3312); The automatic fatty liver health intervention tool sorting module (3311) sorts the fatty liver health intervention tools from largest to smallest according to their weights; The weights of the fatty liver health intervention tools are determined and set by the system; The manual fatty liver health intervention tool sorting module (3312) is used for users to manually set the personalized order of fatty liver health intervention tools according to their own needs; The fatty liver health intervention tool recording module (332) is used to record the usage of fatty liver health intervention tools by users and conduct health interventions on users; The fatty liver health intervention tool recording module (332) includes but is not limited to a basic physiological parameter module (3321), a lifestyle improvement module (3322), a bad behavior control module (3323), a fatty liver health literacy learning and training module (3324), and a psychology module (3325); The basic physiological parameter module (3321) is used to record the user's basic physiological parameters, including weight, blood pressure, and blood sugar; the weight of the basic physiological parameter module is ω basic , the recording frequency of use is f basic , the user score is p basic ; The basic physiological parameter module (3321) includes a weight module (33211), a blood pressure module (33212), and a blood glucose module (33213); The weight module (33211) is used to record the user's weight and the change trend of the weight; the weight of the weight module is ω weight , the recording usage frequency is f weight , the user score is p weight ; The blood pressure module (33212) is used to record the user's systolic blood pressure, diastolic blood pressure, heart rate, and recent change trends, and manage the user's blood pressure; the weight of the blood pressure module is ω blood pressure , the recording usage frequency is f blood pressure , the user score is p blood pressure ; The blood glucose module (33213) is used to record the user's blood glucose value and the change trend of blood glucose, and manage the user's blood glucose; the weight of the blood glucose module is ω bloodsugar , and the usage frequency is f blood sugar , and the user score is p blood sugar ; The lifestyle management module (3322) is used to record the lifestyle of users; The weight of the lifestyle management module is ω life-style , and the usage frequency is recorded as f life-style , and the user score is p life-style ; The lifestyle management module (3322) includes a diet module (33221), an exercise module (33222), and a sleep module (33223); The diet module (33221) is used to record the user's dietary collocation, food intake, eating habits, and manage the user's diet; the weight of the diet module is ω diet , the recording usage frequency is f diet , the user score is p diet ; The motion module (33222) is used to record the user's motion situation and the corresponding motion level, and manage the user's motion; the weight of the motion module is ω motion , and the recording usage frequency is f motion , and the user score is p motion ; The sleep module (33223) is used to record the user's sleep condition and manage the user's sleep; the weight of the sleep module is ω sleep , and the usage frequency is recorded as f sleep , and the user score is p sleep ; The bad behavior control module (3323) is used to record the bad behavior of users; the weight of the bad behavior control module is ω misbehavior , and the recording usage frequency is f misbehavior , and the user score is p misbehavior ; The bad behavior control module (3323) includes a smoking cessation module (33231), an alcohol abstinence module (33232), a staying up late withdrawal module (33233), and an addiction withdrawal module (33234); The smoking cessation module (33231) is used to record the user's smoking situation and manage the user's smoking cessation; the weight of the smoking cessation module is ω quitsmoking , and the recording usage frequency is f quitsmoking , and the user score is p quitsmoking ; The alcohol abstinence module (33232) is used to record the user's drinking situation and manage the user's alcohol abstinence; the weight of the alcohol abstinence module is ω stopdrinking , and the recording usage frequency is f stopdrinking , and the user score is p stopdrinking ; The staying-up-late withdrawal module (33233) is used to record the user's staying-up-late situation and manage the user's staying-up-late; the weight of the staying-up-late withdrawal module is ω situp , the recording usage frequency is f situp , the user score is p situp ; The addiction withdrawal module (33234) is used to record the user's mobile phone usage and conduct addiction management for the user; the weight of the addiction withdrawal module is ω addictionwithdrawal , and the recorded usage frequency is f addictionwithdrawal , and the user's score is p addictiinwithdrawal ; The fatty liver health literacy learning and training module (3324) is used to improve the user's fatty liver health literacy; the weight of the fatty liver health literacy learning and training module is ω knowledge , the recorded usage frequency is f knowledge , the user score is p knowledge ; The fatty liver health literacy learning and training module (3324) includes a fatty liver health literacy learning module (33241) and a fatty liver health literacy assessment module (33242); The fatty liver health literacy learning module (33241) is used to provide users with knowledge related to fatty liver; The weight of the fatty liver health literacy learning module is ω learn , and the recording usage frequency is f learn , and the user score is p tearn ; The fatty liver health literacy assessment module (33242) is used to test the user's learning situation of knowledge related to fatty liver; the weight of the fatty liver health literacy assessment module is ω test , and the usage frequency is recorded as f test , and the user's score is p test ; The psychological module (3325) is used to record the user's psychological condition and conduct psychological management on the user; the weight of the psychological module is ω psychology , the recording usage frequency is f psychology , the user score is p psychology ; The user score is determined by the data mining module (214) according to the content uploaded by the user and transmitted to the fatty liver management level index calculation module (212); The fatty liver health intervention tool addition and subtraction module (333) is used for users to add or subtract fatty liver health intervention tools according to their own needs to customize the personalized fatty liver health intervention tool module (33). The fatty liver health intervention tool recording module (332) further includes a fatty liver and related chronic disease monitoring module (3326) and an adjuvant treatment module (3327); The fatty liver and related chronic disease monitoring module (3326) is used to record the monitoring of the fatty liver and related chronic disease index conditions of the user; the weight of the fatty liver and related chronic disease monitoring module is ω monitor , the recording usage frequency is f monitor , the user score is p monitor ; The fatty liver and related chronic disease monitoring module (3326) includes a liver function record module (33261), a blood lipid module (33262), and a kidney function record module (33263); The liver function record module (33261) is used to record the user's liver function conditions, including biochemical examination results and / or imaging examination results, and manage the user's liver function; the weight of the liver function record module is ω liver function , the recording usage frequency is f liver function , the user score is p liver function ; The blood lipid module (33262) is used to record the user's blood lipid conditions, including triglyceride, total cholesterol, low-density lipoprotein cholesterol, and high-density lipoprotein cholesterol, and manage the user's blood lipids; the weight of the blood lipid module is ω blood fat , the recording usage frequency is f blood fat , the user score is p blood fat ; The renal function recording module (33263) is used to record the uric acid, creatinine, and urea conditions of the user and manage the user's renal function; the weight of the renal function recording module is ω renal function , and the recording usage frequency is f renal function , and the user score is p renal function ; The auxiliary treatment module (3327) is used to record the auxiliary treatment situation related to fatty liver of the user; the weight of the auxiliary treatment module is ω adjuvant , and the recording usage frequency is f adjuvant , and the user score is p adjuvant ; The adjuvant treatment module (3327) includes a respiratory training module (33271), a medication module (33272), a music therapy module (33273), and a traditional Chinese medicine health module (33274); The breathing training module (33271) is used to record the user's breathing training situation and manage the user's breathing training; the weight of the breathing training module is ω breathe , and the usage frequency is recorded as f breathe , and the user's score is p breathe ; The medication-taking module (33272) is used to record the user's medication-taking situation and manage the user's medication; the weight of the medication-taking module is ω medicine , and the usage frequency is recorded as f medicine , and the user score is p medicine ; The music therapy module (33273) is used to record the user's music therapy situation and conduct music conditioning for the user; the weight of the music therapy module is ω music , the recorded usage frequency is f music , the user score is p music ; The traditional Chinese medicine health module (33274) is used to record the traditional Chinese medicine diagnosis and treatment conditions of users, including but not limited to tongue diagnosis and syndrome differentiation, and to conduct traditional Chinese medicine conditioning for users; the weight of the traditional Chinese medicine health module is ω chinese medicine , the recording usage frequency is f chinese medicine , the user score is p chinese medicine .

7. The intelligent system for fatty liver health assessment and management according to claim 1, wherein The fatty liver health data processing module (21) includes a fatty liver health index calculation and rating module (211), a fatty liver management level index calculation module (212), a fatty liver intelligent management module (213), and a data mining module (214); The fatty liver health index calculation and rating module (211) calculates the fatty liver health index of the user by calculating the fatty liver health data collected by the fatty liver health index rating module (311); The fatty liver health index calculation and rating module (211) includes a data preprocessing module (2111), a weight assignment module (2112), and a health rating module (2113); The data preprocessing module (2111) normalizes and standardizes the fatty liver health data collected by the fatty liver health index rating module (311) to obtain standard data y; and transmits the standard data to the weight assignment module (2112); The fatty liver management level index calculation module (212) calculates the fatty liver management level index through the self-test data collected by the fatty liver high-frequency risk factor test module (32) and the intervention behavior data collected by the fatty liver health intervention tool module (33), and / or the information filled in by the user according to their own situation; The fatty liver intelligent management module (213) is used to generate a personalized life plan, recommended fatty liver popular science knowledge, and a fatty liver management summary report for the user, and transmits them to the fatty liver intelligent task setting and reminder module (36) and the fatty liver intelligent advisor module (45) through the data transmission module (22), and stores them in the data storage module (23) The data mining module (214) is used to automatically analyze the integrated data set, summarize the laws of effective fatty liver management, and assign corresponding scores to the user based on the mined laws and the results evaluated or recorded by the user.

8. An intelligent system for fatty liver health assessment and management according to claim 7, characterized in that, The steps for the weight assignment module (2112) to process the standard data are as follows: S1) Use the Analytic Hierarchy Process (AHP) to determine the relative weight W of each index as follows: W = (W information , W illness , W family , W habits , W physical )(1) S2) Transmit the determined weight to the health rating module (2113); The steps for the health rating module (2113) to obtain the fatty liver health index and rating through the weight output by the weight assignment module (2112) are as follows: S21) Weighted normalized decision matrix; S22) Determine the positive ideal solution A + and the negative ideal solution A - ; S23) Calculate the distance d + from the positive ideal solution A + and the distance d - from the negative ideal solution A - , as follows: Among them, y j + represents the value of the j-th index in the positive ideal solution, and y j - represents the value of the j-th index in the negative ideal solution. n is the number of evaluation indices; S24) Calculate the relative closeness C as follows: S25) Analyze C to obtain the fatty liver health index FLHI; S26) Determine the evaluation factor set U and the comment set V; S27) Construct the fuzzy relation matrix R; S28) Perform fuzzy comprehensive evaluation calculation to obtain the comprehensive evaluation vector B as follows: B = (b1, b2, …, b m )(6) Among them, represents a fuzzy composition operator; W is a weight matrix; S29) Determine the fatty liver health rating according to the membership degree and / or closeness.

9. An intelligent system for health assessment and management of fatty liver according to claim 7, characterized in that The fatty liver management level index calculation module (212) alternatively adopts the following scheme to calculate the fatty liver management level index; Scheme 1: a1) Select the fatty liver lifestyle data collected by the fatty liver health index rating module (311), and the corresponding index weight is w i , as follows: ∑w i ＝1(7) Where i is the number of all indicators; a2) The user fills in the score s of each indicator i , or the score s is automatically generated according to the fatty liver health assessment module, the fatty liver high-frequency risk factor test module, and the fatty liver health management tool module i ; a3) Calculate the original score S according to the weight and score as follows: S = ∑w i × s i (8) a4) Determine the original score range, denoted as [S min , S max ; a5) Use the linear conversion formula to convert the original score into the fatty liver management level index FLMI as follows: Scheme 2: b1) Statistically calculate the frequency of the user using the fatty liver high-frequency risk factor test module (32), i.e., f living = ω eating × f eαting + ω exercisevolume × f exercisevolume + ω kip × f kip (10) f eating = ω appetite × f appetite + ω foodintake × f foodintake (11) f misconduct = ω drink × f drink + ω tobacco × f tobacco (12) f mental = ω pressure × f pressure + ω mood × f mood (13) ω eating + ω exercisevolume + ω kip = 1(14) ω foodintake + ω appetite = 1(15) ω pressure +ω mood =1(16) ω drink + ω tobacco = 1(17) b2) Count and calculate the frequency of the user using the fatty liver health intervention tool module (33), that is: f basic = ω weight × f weight + ω blood pressure × f blood pressure + ω blood sugar × f blood sigar (18) f life-style = ω diet × f diet + ω motion × f motion + ω sleep × f sleep (19) f misbehavior = ω quit smoking × f quit smoking + ω stop drinking × f stop drinking + ω sit up × f sit up + ω addiction withdrawal × f addiction wiihdrawal (20) f knowledge = ω learn × f learn + ω test × f test (21) f monitor = ω liver function × f liver function + ω blood fat × f blood fat + ω renal function × f renal function (22) f adjuvant = ω breathe × f breathe + ω medicine × f medicine + ω music × f music + ω chinese medicine × f chinese medicine (23) ω weight + ω blood pressure + ω blood sugar = 1(24) ω diet + ω motion + ω sleep = 1(25) ω quitsmoking + ω stopdrinking + ω situp + ω addictionwithdrawal = 1(26) ω learn +ω test =1(27) ω liver function + ω blood fat + ω renal function = 1(28) ω breathe + ω medicine + ω music + ω chinese medicine = 1(29) b3) Set a weight ω for the fatty liver high-frequency risk factor test module (32) HF , set a weight ω for the fatty liver health intervention tool module (33) MT , as follows: ω HF + ω MT = 1(30) where 0 ≤ ω HF ≤ 0.3, 0.7 ≤ ω MT ≤ 1; b4) Calculate the fatty liver high-frequency risk factor test score L HF and the fatty liver health intervention tool score L MT , as follows: L HF = ω living × f living + ω misconduct × f misconduct + ω mental × f mental (31) L MT = ω basic × f basic + ω life-style × f life-style + ω misbehavior × f misbehavior + ω knowledge × f knowledge + ω psychology × f psychology + ω monitor × f monitor + ω adjuvant × f adjuvant (32) ω living + ω misconduct + ω mental = 1(33) ω basic + ω life-style + ω misbehavior + ω knowledge + ω psychology + ω monitor + ω adjuvant = 1(34) b5) Calculate the fatty liver active intervention score L as follows: L = L HF × ω HF + L MT × ω MT (35) b6) Determine the weight w of the fatty liver health index FLHI flhi , and the weight w of the fatty liver active intervention score L l , as follows: 0≤w flhi ≤0.2(36) 0.8≤w l ≤1(37) where w flhi + w l = 1; b7) Calculate the fatty liver management level index FLMI as follows: FLMI = FLHI × w flhi + L × w l (38) Solution Three: c1) Count and calculate the frequency and score of the user's use of the fatty liver high-frequency risk factor test module (32); f living = ω eating × f eating + ω exercise volume × f exercise volume + ω kip × f kip (39) f eating = ω appetite × f appetite + ω food intake × f food intake (40) f misconduct = ω drink × f drink + ω tobacco × f tobacco (41) f mental = ω pressure × f pressure + ω mood × f mood (42) p living = ω eating × p eating + ω exercisevolume × p exercisevolume + ω kip × p kip (43) p eating = ω appetite × p appetite + ω foodintake × p foodintake (44) p misconduct = ω drink × p drink + ω tobacco × p tobacco (45) p mental = ω pressure × p pressure + ω mood × p mood (46) Among them, ω eating + ω exercisevolume + ω kip = 1(47) ω foodintake + ω appetite =1(48) ω pressure + ω mood =1(49) ω drink + ω tobacco =1(50) In the formula, p > 0 indicates that the recorded content is positive, p = 0 indicates neutral content, and p < 0 indicates negative content; c2) Count and calculate the frequency and score of the user using the fatty liver health intervention tool module (33), that is: p basic = ω weight × p weight + ω blood pressure × p blood pressure + ω blood sugar × p blood sugar (51) p life-style = ω diet × p diet + ω motion × p motion + ω sleep × p sleep p misbehavior = ω quit smoking × p quit smoking + ω stop drinking × p stop drinking + ω sit up × p sit up + ω addiction withdrawal × p addiction withdrawal (52) p knowledge = ω learn × p learn + ω test × p test (53) p monitor = ω liver function × p liver function + ω blood fat × p blood fat + ω renal function × p renal function (54) p adjuvant = ω breathe × p breathe + ω medicine × p medicine + ω music × p music + ω chinese medicine × p chinese medicine (55) ω weight + ω bloodpressure + ω bloodsugar = 1(56) ω diet + ω motion + ω sleep = 1(57) ω quitsmoking + ω stopdrinking + ω situp + ω addictionwithdrawal = 1(50) ω learn + ω test = 1(58) ω liver function + ω blood fat + ω renal function = 1(59) ω breathe + ω medicine + ω music + ω chinese medicine = 1(60) In the formula, p > 0 indicates that the recorded content is positive, p = 0 indicates neutral content, and p < 0 indicates negative content; c3) Set a weight ω for the fatty liver high-frequency risk factor test module (32) HF , where the frequency weight of the fatty liver high-frequency risk factor test module (32) is ω fHF , and the intervention score weight is ω pHF ; Set a weight ω for the fatty liver health intervention tool module (33) MT , where the frequency weight of the fatty liver health intervention tool module (33) is ω fMT , and the intervention score weight is ω pMT , as follows: ω HF +ω MT =1(61) ω fHF + ω pHF =1(62) ω fMT +ω pMT =1(63) where 0 ≤ ω HF ≤ 0.3, 0.7 ≤ ω MT ≤ 1; (64) c4) Calculate the fatty liver high-frequency risk factor test score L HF and the fatty liver health intervention tool score L MT , as follows: L HF = ω fHF × (ω living × f living + ω misconduct × f misconduct + ω mental × f mentai ) + ω pHF × (ω living × p living + ω misconduct × p misconduct + ω mental × p mental )(65) L MT = ω fMT × (ω basic × f basic + ω life - style × f life - style + ω misbehavior × f misbehavior + ω knowledge × f knowledge + ω psychology × f psychology + ω monitor × f monitor + ω adjuvant × f adjuvant ) + ω pMT × (ω basic × p basic + ω life - style × p life - style + ω misbehavior × p misbehavior + ω knowledge × p knowledge + ω psychology × p psychology + ω monitor × p monitor + ω adjuvant × p adjuvant )(66) ω living + ω misconduct + ω mental = 1(67) ω basic + ω life - style + ω misbehavior + ω knowledge + ω psychology + ω monitor + ω adjuvant = 1(68) c5) Calculate the fatty liver active intervention score L as follows: L = L HF × ω HF + L MT × ω MT (69) c6) Determine the weight of the fatty liver health index FLHI as w flhi , and the weight of the fatty liver active intervention score L as w l , as follows: 0≤w flhi ≤0.2(70) 0.8≤w l ≤1(71) where w flhi + w l = 1; c7) Calculate the fatty liver management level index FLMI as follows: FLMI = FLHI × w flhi + L × w l (72).

10. The intelligent system for fatty liver health assessment and management according to claim 1, wherein It also includes the intelligent hardware terminal (7); The intelligent hardware terminal (7) includes a data monitoring module (71), a data display module (72), and a wireless transmission module (73); The data monitoring module (71) of the intelligent module (7) is used to monitor various indicators of the user, including but not limited to weight, blood pressure, blood sugar, exercise, sleep, blood lipid, and slow breathing training data, and send the data to the weight module (33211), blood pressure module (33212), blood sugar module (33213), exercise module (33222), sleep record module (33223), blood lipid module (33262), and breathing training module (33271) through the wireless transmission module (73) for recording; The intelligent hardware includes but not limited to intelligent weighing scales, intelligent sphygmomanometers, intelligent blood glucose meters, breathing trainers, intelligent pedometers, smart watches, and smart bracelets.

Images