Precise health management method and system
By determining the evaluation direction and subtype in the health management system, establishing a physical examination questionnaire, collecting and evaluating personal physical examination data, and providing personalized intervention suggestions, it solves the problem of difficult to effectively utilize health physical examination data in the existing technology, and realizes the user's Accurate health management and risk assessment.
Patent Information
- Application Number
- CN202411660414.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-20
- Publication Date
- 2025-02-21
AI Technical Summary
The existing technology is difficult to effectively utilize health examination data, and the lack of personalized risk assessment and intervention measures makes it difficult for users to take the initiative to take health protection measures.
By determining the evaluation direction and subtype, establishing a physical examination questionnaire, collecting personal physical examination data, conducting risk assessment based on these data, determining the evaluation direction and subtype that requires intervention, and matching the corresponding intervention direction, users can obtain intervention suggestions through electronic terminals .
Accurate risk assessment and personalized intervention suggestions for users’ personal physical examination data are realized, helping users to improve their health status or seek medical consultations in a timely manner, and providing effective health management guarantees.
Smart Images
Figure CN119495387A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of health management, and in particular to a method and system for precise health management. Background Art
[0002] With the continuous progress and development of our society, people's material life is becoming increasingly abundant, and their way of life and work has also undergone major changes. Various chronic diseases threaten people's health. A global survey conducted by the World Health Organization shows that only 5% of the people are truly healthy, 20% of the people suffer from various diseases, and another 75% of the people are in sub-health status. People are paying more and more attention to their physical and mental health, and the concept of medical treatment among the people has gradually changed from passive medical treatment after becoming ill to active intervention and prevention.
[0003] In the prior art, people mainly obtain body composition data, vital signs data, blood composition data, physical fitness test data, etc. by undergoing regular physical examinations. By evaluating and comparing the various indicator data on the physical examination report, medical personnel can formulate intervention directions and means based on the physical condition of the examinee.
[0004] Compared with ordinary epidemiological survey data, health examination data has the advantages of comprehensive, rich, large-scale, large sample content, and consistent technology, which can more prominently reflect the health status and disease characteristics of a certain range of people. Health examination data is a typical longitudinal monitoring data that accumulates comprehensive health information of the population for many years, but it has not been fully utilized. Summary of the invention
[0005] In order to conduct risk assessment based on personal physical examination data, facilitate users to take effective intervention measures on their own initiative, and provide effective protection for users' personal health, this application provides a method and system for precise health management.
[0006] The present application provides a method and system for accurate health management using the following technical solutions:
[0007] A method and system for accurate health management, comprising the following steps:
[0008] Step S1: determining an assessment direction, determining the subtypes included in the assessment direction, and determining the personal physical examination data required for diagnosing the subtypes in the assessment direction;
[0009] Step S2: establishing index questions respectively according to the individual physical examination data required for the subtype of the diagnostic evaluation direction, establishing question numbers for the index questions one by one, and establishing a physical examination questionnaire based on the index questions;
[0010] Step S3: importing the physical examination questionnaire into an electronic terminal, and collecting personal physical examination data based on the physical examination questionnaire through the electronic terminal;
[0011] Step S4: performing risk assessment on each assessment direction based on the personal physical examination data, determining the assessment direction requiring intervention, determining the display order of the assessment directions requiring intervention, determining the subtype of the assessment directions requiring intervention, and the intervention direction of the assessment directions requiring intervention;
[0012] Step S5: The electronic terminal displays the evaluation directions that need intervention, the subtypes of the evaluation directions that need intervention, and the intervention directions that need to be taken in order.
[0013] By adopting the above technical solution, after the user obtains the data on his or her physical examination report and the data of the self-test items, he or she can input the personal physical examination data one by one through the corresponding indicator questions in the questionnaire; based on the physical examination data, risk assessment can be performed on the user's various assessment directions, and the user's assessment directions and subtypes of assessment directions that need intervention can be confirmed, and the corresponding intervention directions can be matched according to the subtypes of assessment directions. The user can directly obtain the assessment directions that need intervention, the subtypes of assessment directions that need intervention, and the intervention directions that need to be taken through the electronic terminal, so that the user can take targeted intervention measures according to his or her own physical condition, improve his or her own physical condition in a timely manner, or seek medical advice in a timely manner.
[0014] Preferably, the step S1 comprises:
[0015] Step S11: Determine the evaluation direction; the evaluation direction includes weight problems, lung nodule problems, uric acid problems, blood pressure problems, sleep problems, blood sugar problems and Hashimoto's hypothyroidism problems;
[0016] Step S12: determining the subtypes included in each evaluation direction;
[0017] Step S13: Determine the required indicator data for each subtype.
[0018] By adopting the above technical solution, according to the type of evaluation direction, the subtypes included in the evaluation direction, and the indicator data required for diagnosing the subtypes of the evaluation direction, it is possible to establish a questionnaire based on the required indicator data, which can be used to collect the user's personal physical examination data, so as to facilitate a comprehensive risk assessment of the user's weight problems, lung nodules, uric acid problems, blood pressure problems, sleep problems, blood sugar problems, and Hashimoto's hypothyroidism problems.
[0019] Preferably, step S2 comprises:
[0020] Step S21: creating indicator questions for the indicator data required for diagnosing each subtype;
[0021] Step S22: assigning a question number to each indicator question;
[0022] Step S23: Create a physical examination questionnaire based on the several indicator questions.
[0023] By adopting the above technical solution, indicator data of each subtype of the user's weight problems, lung nodule problems, uric acid problems, blood pressure problems, sleep problems, blood sugar problems and Hashimoto's hypothyroidism problems can be obtained through questionnaires.
[0024] Preferably, step S4 comprises:
[0025] Step S41: obtaining personal physical examination data according to the individual's answer to each indicator question on the physical examination questionnaire;
[0026] Step S42: Divide the indicator data required for diagnosing each subtype into key indicator data and reference indicator data, and assign weights to the key indicator data and the reference indicator data respectively;
[0027] Step S43: based on the weight of the key indicator data in each evaluation direction, confirm the evaluation direction that needs intervention, the display order of the evaluation direction that needs intervention, the subtype of the evaluation direction that needs intervention, and the intervention direction that needs to be taken.
[0028] By adopting the above technical solution, after obtaining the user's personal physical examination data through the indicator questions on the questionnaire, the indicator data are divided into key indicator data and reference indicator data based on the priority and relevance of the indicator data required for the diagnosis subtype, among which the key indicator data plays a decisive role in the diagnosis and is the main reference data, and the reference indicator data is the data required for auxiliary diagnosis and is the secondary reference data. Based on the weights of the key indicator data and the reference indicator data, the evaluation direction in which the user needs to intervene, the subtype of the evaluation direction, and the intervention direction can be determined.
[0029] Preferably, the step S42 includes:
[0030] Step S421: Dividing the indicator data into key indicator data and reference indicator data according to the priority and relevance of the key indicator data required for diagnosing each subtype;
[0031] Step S422: Assign weights to the key indicator data and reference indicator data according to the priority and relevance of diagnosing each subtype. The larger the weight value, the higher the diagnostic priority and relevance of the key indicator data and reference indicator data for the subtype.
[0032] By adopting the above technical solution, the risk of each assessment direction can be assessed with reference to the numerical values of the weights of the key indicator data and the reference indicator data.
[0033] Preferably, the step S43 includes:
[0034] Step S431: Calculate Di for each evaluation direction, where Di is the sum of the weights of the key indicator data under each subtype of each evaluation direction;
[0035] Step S432: Screen out the evaluation directions with Di>0, and sort the evaluation directions according to the value of Di. The higher the value of Di is, the higher the value of Di is. If there are two or more evaluation directions with the same and largest value of Di, calculate Dt of the two or more evaluation directions respectively, and the evaluation direction with the larger Dt is ranked higher, where Dt is the sum of the weights of the key indicator data and reference indicator data under each subtype of each evaluation direction.
[0036] Step S433: Calculate the Dq of each subtype under the evaluation direction that requires intervention, and mark the subtype with the largest Dq as the subtype of the evaluation direction; if there are two or more evaluation directions with equal and largest Dq values, calculate the Df of the two or more subtypes respectively, and mark the subtype with the larger Df as the subtype of the evaluation direction, where Dq is the sum of the weights of the key indicator data of the subtype, and Df is the sum of the weights of the key indicator data and the reference indicator data of the subtype;
[0037] Step S434: Obtain the subtype of the evaluation direction that requires intervention, and match the intervention direction of the evaluation direction of the subtype.
[0038] By adopting the above technical solution, after obtaining the user's personal physical examination data, Di is obtained by summing the weights of the key indicator data of each evaluation direction, and the numerical value of Di can directly reflect the risk of the evaluation direction; the evaluation directions with Di>0 are screened out to obtain the evaluation directions that need intervention; the evaluation directions are sorted based on the numerical value of Di, which can be convenient for arranging and displaying the evaluation directions in order of risk size; by calculating the key indicator data and reference indicator data of each subtype under the evaluation direction, the subtype to which each evaluation direction belongs can be determined, which is convenient for matching the corresponding intervention direction according to the subtype of the evaluation direction that needs intervention, and can assist users to accurately intervene in their own health conditions based on their personal physical examination data.
[0039] Preferably, the electronic terminal includes a computer, a mobile phone or a wearable device with a control panel.
[0040] Preferably, the intervention directions include exercise prescriptions, nutritional prescriptions, physical therapy plans, and medical recommendations.
[0041] This application also proposes a precise health management system, including:
[0042] The data collection module is used to collect the user's personal physical examination data through questionnaires;
[0043] A data processing module, whose data input end is data-connected to the data output end of the data acquisition module, is used to receive the personal physical examination data and calculate the assessment direction requiring intervention, the subtype of the assessment direction requiring intervention, the display order of the assessment direction requiring intervention, and the intervention direction;
[0044] The display, whose data input terminal is data-connected to the data output terminal of the data processing module, is used to display the assessment direction requiring intervention, the subtype of the assessment direction requiring intervention, and the intervention direction in a display order.
[0045] By adopting the above technical solution, after the user completes the physical examination, the personal physical examination data can be input through the questionnaire on the data acquisition module. The data processing module calculates the total weight Di of the key indicator data of each evaluation direction based on the personal physical examination data, and determines the evaluation direction that needs intervention, the subtype of the evaluation direction that needs intervention, the display order of the evaluation direction that needs intervention, and the intervention direction based on the numerical value of Di. The user can obtain his or her own health status and the intervention direction that needs to be taken through the display, which is convenient for timely medical consultation or taking corresponding exercise plans, nutritional prescriptions, physical therapy plans, medical recommendations, etc., which can facilitate users to take effective intervention measures on their own initiative and provide effective protection for the user's personal health.
[0046] In summary, the present invention provides a method and system for accurate health management, which includes at least one of the following beneficial technical effects:
[0047] 1. After users obtain the data on their own physical examination reports and self-test project data, they can input their personal physical examination data one by one through the corresponding indicator questions in the questionnaire; based on the physical examination data, risk assessment can be performed on the user's various assessment directions, confirming the user's assessment direction that needs intervention and the subtype of the assessment direction, and matching the corresponding intervention direction according to the subtype of the assessment direction. Users can directly obtain the assessment direction that needs intervention, the subtype of the assessment direction that needs intervention, and the intervention direction that needs to be taken through the electronic terminal, so that users can take targeted intervention measures according to their own physical condition, improve their physical condition in a timely manner, or seek medical advice in a timely manner;
[0048] 2. After obtaining the user's personal physical examination data through the indicator questions on the questionnaire, the indicator data are divided into key indicator data and reference indicator data based on the priority and relevance of the indicator data required for the diagnosis subtype. Among them, the key indicator data plays a decisive role in the diagnosis and is the main reference data. The reference indicator data is the data required for auxiliary diagnosis and is the secondary reference data. Based on the weights of the key indicator data and the reference indicator data, the evaluation direction that the user needs to intervene, the subtype of the evaluation direction, and the intervention direction can be determined. BRIEF DESCRIPTION OF THE DRAWINGS
[0049] Figure 1 It is a schematic diagram of an embodiment of the present application for demonstrating the overall steps of the health management method.
[0050] Figure 2 It is a schematic diagram used to demonstrate the specific steps of step S4 in the health management method in the embodiment of the present application.
[0051] Figure 3 This is a schematic diagram of an embodiment of the present application for displaying subtypes, indicator problems, question numbers, and weights of an assessment direction of weight problems.
[0052] Figure 4 This is a schematic diagram of an embodiment of the present application for displaying the subtypes, indicator problems, question numbers, and weights of the problem of small lung nodules in the evaluation direction.
[0053] Figure 5 This is a schematic diagram of an embodiment of the present application for displaying the subtypes, indicator problems, question numbers, and weights of the evaluation direction of uric acid problems.
[0054] Figure 6 This is a schematic diagram of an embodiment of the present application for displaying subtypes, indicator problems, question numbers, and weights of blood pressure problems in the evaluation direction.
[0055] Figure 7 This is a schematic diagram of an embodiment of the present application for displaying subtypes, indicator problems, question numbers, and weights of sleep problems in the evaluation direction.
[0056] Figure 8 This is a schematic diagram of an embodiment of the present application for displaying subtypes, indicator problems, question numbers, and weights of blood sugar problems in the evaluation direction.
[0057] Fig. 9 It is a schematic diagram of an embodiment of the present application for displaying subtypes, indicator questions, question numbers, and weights of the Hashimoto's hypothyroidism problem in the evaluation direction.
[0058] Fig.10 It is a data chart used to display the range of biochemical indicators in the embodiments of the present application. DETAILED DESCRIPTION
[0059] The following combination Figure 1-Figure 10 This application is described in further detail.
[0060] Example:
[0061] The present application embodiment discloses a method for accurate health management. Figure 1 , which mainly includes the following steps:
[0062] Step S1: determining an assessment direction, determining the subtypes included in the assessment direction, and determining the personal physical examination data required for diagnosing the subtypes in the assessment direction;
[0063] Step S2: establishing index questions respectively according to the individual physical examination data required for the subtype of the diagnostic evaluation direction, establishing question numbers for the index questions one by one, and establishing a physical examination questionnaire based on the index questions;
[0064] Step S3: importing the physical examination questionnaire into an electronic terminal, and collecting personal physical examination data based on the physical examination questionnaire through the electronic terminal;
[0065] Step S4: Based on the personal physical examination data, risk assessment is performed on each assessment direction, assessment directions requiring intervention are determined, the display order of assessment directions requiring intervention is determined, subtypes of assessment directions requiring intervention are determined, and intervention directions of assessment directions requiring intervention are determined;
[0066] Step S5: The electronic terminal displays the evaluation directions that need intervention, the subtypes of the evaluation directions that need intervention, and the intervention directions that need to be taken in order.
[0067] After the user completes various physical examination tests, he or she can fill in the data on the personal physical examination form on the questionnaire one by one through the indicator questions on the questionnaire. Since the indicator questions are each provided with a question number, it is convenient to obtain personal physical examination data intuitively through the questionnaire, and correspond the personal physical examination data to the evaluation direction and the subtype of the evaluation direction respectively.
[0068] After conducting a risk assessment on the personal physical examination data, the assessment directions in which the user needs to intervene can be displayed in sequence according to the risk size of the personal physical examination data, and the subtype of the assessment direction in which the user needs to intervene can be calculated based on the personal physical examination data. After matching the intervention direction with the subtype of the assessment direction that needs intervention through the electronic terminal, the user can directly obtain the intervention direction from the electronic terminal.
[0069] It should be noted that in the embodiment of the present application, the intervention direction includes exercise prescriptions, nutritional prescriptions, physical therapy plans, and medical recommendations. After the user completes the risk assessment of the assessment direction, the exercise prescriptions, nutritional prescriptions, physical therapy plans or medical recommendations required to intervene in health risks can be obtained through the electronic terminal.
[0070] Wherein, step S2 comprises:
[0071] Step S21: creating indicator questions for the indicator data required for diagnosing each subtype;
[0072] Step S22: assigning a question number to each indicator question;
[0073] Step S23: Create a physical examination questionnaire based on the several indicator questions.
[0074] In the embodiment of the present application, the evaluation directions include weight problems, lung nodule problems, uric acid problems, blood pressure problems, sleep problems, blood sugar problems and Hashimoto's hypothyroidism problems.
[0075] The subtypes of weight problems, lung nodules, uric acid problems, blood pressure problems, sleep problems, blood sugar problems, and Hashimoto's hypothyroidism problems are as follows: Figure 3-Figure 9 shown.
[0076] For example, the subtypes of weight problems include stress type, thyroid type, insulin fat (metabolic type), liver toxin type, sex hormone type, and basic type; the subtypes of lung nodule problems include basic type, hormone balance type, insulin resistance (metabolic type), immune disorder type, and comprehensive type; the subtypes of uric acid problems include basic type, blood sugar type, inflammatory type, and liver type; the subtypes of blood pressure problems include basic type, blood sugar type, inflammatory type, stress type, and blood lipid type; the subtypes of sleep problems include difficulty falling asleep type, stress type difficulty, anxiety type, stress type anxiety, easy awakening type, and stress type easy awakening; the subtypes of blood sugar problems include basic type, liver type, intestinal immunity type, dyslipidemia type, thyroid function type, antioxidant type, and kidney type; the subtypes of Hashimoto's hypothyroidism problems include intestinal type, stress type, liver toxin type, and basic type.
[0077] Indicator questions are established separately according to the data required for the subtype diagnosis of each assessment direction. After assigning a title number to each indicator question, the corresponding indicator question can be matched with the corresponding answer entered by the user, so as to facilitate the subsequent judgment of the subtype of the assessment direction.
[0078] For example, in this embodiment, the indicator data required for diagnosing the subtype of insulin-fat (metabolic) weight problem include blood sugar, high insulin, high triglycerides, postprandial fatigue, abdominal obesity, family history of diabetes, and skin condition. Questions are established based on the required indicator data. Indicator questions about fasting blood sugar, fasting insulin, triglycerides, postprandial fatigue, waist circumference, hip circumference, history of diabetes in immediate relatives, and dry skin are established in the questionnaire, and unique question numbers are set for the indicator questions about fasting blood sugar, fasting insulin, triglycerides, postprandial fatigue, waist circumference, hip circumference, history of diabetes in immediate relatives, and dry skin.
[0079] Reference Figure 2 , step S4 comprises:
[0080] Step S41: obtaining personal physical examination data according to the individual's answer to each indicator question on the physical examination questionnaire;
[0081] Step S42: Divide the indicator data required for diagnosing each subtype into key indicator data and reference indicator data, and assign weights to the key indicator data and the reference indicator data respectively;
[0082] Step S43: based on the weight of the key indicator data in each evaluation direction, confirm the evaluation direction that needs intervention, the display order of the evaluation direction that needs intervention, the subtype of the evaluation direction that needs intervention, and the intervention direction that needs to be taken.
[0083] Among them, the weight of each indicator problem under the subtype included in weight problems, lung nodules, uric acid problems, blood pressure problems, sleep problems, blood sugar problems, and Hashimoto's hypothyroidism problems can be determined based on the user's answers, such as Fig.10 The indicated biochemical indices were evaluated.
[0084] After obtaining the user's personal physical examination data through the indicator questions on the questionnaire, the indicator data are divided into key indicator data and reference indicator data based on the priority and relevance of the indicator data required for the diagnosis subtype. Among them, the key indicator data plays a decisive role in the diagnosis and is the main reference data. The reference indicator data is the data required for auxiliary diagnosis and is the secondary reference data. Based on the weights of the key indicator data and the reference indicator data, the evaluation direction that the user needs to intervene, the subtype of the evaluation direction, and the intervention direction can be determined.
[0085] Reference Figure 2 , step S42 comprises:
[0086] Step S421: Dividing the indicator data into key indicator data and reference indicator data according to the priority and relevance of the key indicator data required for diagnosing each subtype;
[0087] Step S422: Assign weights to the key indicator data and reference indicator data according to the priority and relevance of diagnosing each subtype. The larger the weight value, the higher the diagnostic priority and relevance of the key indicator data and reference indicator data for the subtype.
[0088] The step S43 comprises:
[0089] Step S431: Calculate Di for each evaluation direction, where Di is the sum of the weights of the key indicator data under each subtype of each evaluation direction;
[0090] Step S432: Screen out the evaluation directions with Di>0, and sort the evaluation directions according to the value of Di. The higher the value of Di is, the higher the value of Di is. If there are two or more evaluation directions with the same and largest value of Di, calculate Dt of the two or more evaluation directions respectively, and the evaluation direction with the larger Dt is ranked higher, where Dt is the sum of the weights of the key indicator data and reference indicator data under each subtype of each evaluation direction.
[0091] Step S433: Calculate the Dq of each subtype under the evaluation direction that requires intervention, and mark the subtype with the largest Dq as the subtype of the evaluation direction; if there are two or more evaluation directions with equal and largest Dq values, calculate the Df of the two or more subtypes respectively, and mark the subtype with the larger Df as the subtype of the evaluation direction, where Dq is the sum of the weights of the key indicator data of the subtype, and Df is the sum of the weights of the key indicator data and the reference indicator data of the subtype;
[0092] Step S434: Obtain the subtype of the evaluation direction that requires intervention, and match the intervention direction of the evaluation direction of the subtype.
[0093] After obtaining the user's personal physical examination data, Di is obtained by summing up the weights of the key indicator data of each evaluation direction. The numerical value of Di can directly reflect the risk of the evaluation direction; the evaluation directions with Di>0 are screened out to obtain the evaluation directions that need intervention; the evaluation directions are sorted based on the numerical value of Di, which can be convenient for arranging and displaying the evaluation directions in order of risk size; by calculating the key indicator data and reference indicator data of each subtype under the evaluation direction, the subtype to which each evaluation direction belongs can be determined, which is convenient for matching the corresponding intervention direction according to the subtype of the evaluation direction that needs intervention, and can assist users to accurately intervene in their own health conditions based on their personal physical examination data.
[0094] For example, in the indicator data of weight problems with the subtype of stress, and in the indicator data of weight problems with the subtype of insulin-fat (metabolic type), the data of fasting blood glucose, fasting insulin, fasting triglycerides, abdominal obesity (including waist circumference and hip circumference), and skin condition are key indicator data, and postprandial status and family history of diabetes are reference indicator data.
[0095] By calculating the weights of key indicator data in multiple evaluation directions one by one, it can be determined whether the user has health risks in this evaluation direction.
[0096] The implementation principle of a method and system for precise health management in an application embodiment is as follows: after obtaining the user's personal physical examination data, Di is obtained by summing the weights of the key indicator data of each evaluation direction, and the numerical value of Di can directly reflect the risk of the evaluation direction; the evaluation directions with Di>0 are screened out to obtain the evaluation directions that need intervention; the evaluation directions are sorted based on the numerical value of Di, which can be convenient for arranging and displaying the evaluation directions in order of risk size; by calculating the key indicator data and reference indicator data of each subtype under the evaluation direction, the subtype to which each evaluation direction belongs can be determined, so as to match the corresponding intervention direction according to the subtype of the evaluation direction that needs intervention, and can assist users to accurately intervene in their own health conditions according to their personal physical examination data.
[0097] The above are all preferred embodiments of the present application, and the protection scope of the present application is not limited thereto. Therefore, any equivalent changes made according to the structure, shape, and principle of the present application should be included in the protection scope of the present application.
Claims
1. A method for accurate health management, characterized in that: The following steps are involved: Step S1: determining an assessment direction, determining the subtypes included in the assessment direction, and determining the personal physical examination data required for diagnosing the subtypes in the assessment direction; Step S2: establishing index questions respectively according to the individual physical examination data required for the subtype of the diagnostic evaluation direction, establishing question numbers for the index questions one by one, and establishing a physical examination questionnaire based on the index questions; Step S3: importing the physical examination questionnaire into an electronic terminal, and collecting personal physical examination data based on the physical examination questionnaire through the electronic terminal; Step S4: Based on the personal physical examination data, risk assessment is performed on each assessment direction, assessment directions requiring intervention are determined, the display order of assessment directions requiring intervention is determined, subtypes of assessment directions requiring intervention are determined, and intervention directions of assessment directions requiring intervention are determined; Step S5: The electronic terminal displays the evaluation directions that need intervention, the subtypes of the evaluation directions that need intervention, and the intervention directions that need to be taken in order.
2. A method for accurate health management according to claim 1, characterized in that: The step S1 comprises: Step S11: Determine the evaluation direction; the evaluation direction includes weight problems, lung nodule problems, uric acid problems, blood pressure problems, sleep problems, blood sugar problems and Hashimoto's hypothyroidism problems; Step S12: determining the subtypes included in each evaluation direction; Step S13: Determine the required indicator data for each subtype.
3. A method of accurate health management according to claim 2, characterized in that: The step S2 comprises: Step S21: creating indicator questions for the indicator data required for diagnosing each subtype; Step S22: assigning a question number to each indicator question; Step S23: Create a physical examination questionnaire based on the several indicator questions.
4. A method for accurate health management according to claim 3, characterized in that: The step S4 comprises: Step S41: obtaining personal physical examination data according to the individual's answer to each indicator question on the physical examination questionnaire; Step S42: Divide the indicator data required for diagnosing each subtype into key indicator data and reference indicator data, and assign weights to the key indicator data and the reference indicator data respectively; Step S43: based on the weight of the key indicator data in each evaluation direction, confirm the evaluation direction that needs intervention, the display order of the evaluation direction that needs intervention, the subtype of the evaluation direction that needs intervention, and the intervention direction that needs to be taken.
5. A method for accurate health management according to claim 4, characterized in that: The step S42 comprises: Step S421: Dividing the indicator data into key indicator data and reference indicator data according to the priority and relevance of the key indicator data required for diagnosing each subtype; Step S422: Assign weights to the key indicator data and reference indicator data according to the priority and relevance of diagnosing each subtype. The larger the weight value, the higher the diagnostic priority and relevance of the key indicator data and reference indicator data for the subtype.
6. A method of accurate health management according to claim 4, characterized in that: The step S43 comprises: Step S431: Calculate Di for each evaluation direction, where Di is the sum of the weights of the key indicator data under each subtype of each evaluation direction; Step S432: Screen out the evaluation directions with Di>0, and sort the evaluation directions according to the value of Di. The higher the value of Di is, the higher the value of Di is. If there are two or more evaluation directions with the same and largest value of Di, calculate Dt of the two or more evaluation directions respectively, and the evaluation direction with the larger Dt is ranked higher, where Dt is the sum of the weights of the key indicator data and reference indicator data under each subtype of each evaluation direction. Step S433: Calculate the Dq of each subtype under the evaluation direction that requires intervention, and mark the subtype with the largest Dq as the subtype of the evaluation direction; if there are two or more evaluation directions with equal and largest Dq values, calculate the Df of the two or more subtypes respectively, and mark the subtype with the larger Df as the subtype of the evaluation direction, where Dq is the sum of the weights of the key indicator data of the subtype, and Df is the sum of the weights of the key indicator data and the reference indicator data of the subtype; Step S434: Obtain the subtype of the evaluation direction that requires intervention, and match the intervention direction of the evaluation direction of the subtype.
7. A method of accurate health management according to claim 4, characterized in that: The electronic terminal includes a computer, a mobile phone or a wearable device with a control panel.
8. A method of accurate health management according to claim 7, characterized in that: The intervention directions include exercise prescriptions, nutritional prescriptions, physical therapy plans, and medical recommendations.
9. A precise health management system based on any one of claims 1 to 7, characterized in that: include: The data collection module is used to collect the user's personal physical examination data through questionnaires; A data processing module, whose data input end is data-connected to the data output end of the data acquisition module, is used to receive the personal physical examination data and calculate the assessment direction requiring intervention, the subtype of the assessment direction requiring intervention, the display order of the assessment direction requiring intervention, and the intervention direction; The display, whose data input terminal is data-connected to the data output terminal of the data processing module, is used to display the assessment direction requiring intervention, the subtype of the assessment direction requiring intervention, and the intervention direction in a display order.