Patient treatment diet intelligent monitoring system and method based on mobile intelligent terminal

Abstract

The invention provides a patient treatment diet intelligent monitoring system and method based on a mobile intelligent terminal. The system comprises a medical care terminal, a patient terminal and a computing terminal. The medical care terminal collects basic information and disease information of the patient and formulates a diet formula; the patient side sets daily diet intake and uploads food photos; and the calculation end analyzes the picture and the formula, calculates the actual and recommended nutrient intake, the weighted deviation degree, the total recommendation amount, the compliance factor and the trend adjustment factor, further obtains a diet conformity dynamic optimization index, and realizes diet deviation degree monitoring and early warning. The system integrates three modules, comprehensively optimizes diet management, improves efficiency and accuracy, provides a convenient management means for medical staff, and has important practical significance and application value.

Description

Technical Field

[0001] This application belongs to the field of diet monitoring, and particularly relates to a patient treatment diet intelligent monitoring system and method based on a mobile intelligent terminal. Background Art

[0002] In the current field of medical and health management, patient diet management is an indispensable part of the treatment process. Especially for patients with chronic diseases and during the recovery period, a reasonable diet combination is crucial for disease control and physical recovery. However, traditional diet management methods often rely on manual records and evaluations by medical staff, which are not only inefficient but also difficult to achieve real-time and accurate monitoring.

[0003] With the rapid development of mobile Internet technology, mobile intelligent terminals have been widely used in people's daily lives, bringing new opportunities for change in the medical and health field. By leveraging the convenience and intelligence of mobile intelligent terminals, real-time monitoring and precise management of patients' dietary intake can be achieved, thereby improving the efficiency and accuracy of diet management. Summary of the Invention

[0004] The purpose of this application is to overcome the above-mentioned technical problems in the prior art and provide a patient treatment diet intelligent monitoring system and method based on a mobile intelligent terminal.

[0005] This application provides a patient treatment diet intelligent monitoring system based on a mobile intelligent terminal, including: a medical staff terminal, a patient terminal, and a computing terminal;

[0006] The medical staff terminal is used to collect the basic information and disease information of the patient; generate a diet formula according to the disease information;

[0007] The patient terminal is used to set the daily dietary intake according to the diet formula and obtain the food photos of the patient before eating or drinking water;

[0008] The computing terminal is used to obtain the diet formula and the food photos; determine the actual intake and recommended intake of nutrients for the patient according to the diet formula and the food photos; calculate the weighted deviation degree, total recommended amount, compliance factor, and trend adjustment factor according to the actual intake and the recommended intake respectively; calculate the dynamic optimization index of diet compliance according to the weighted deviation degree, total recommended amount, compliance factor, and trend adjustment factor; detect and give early warnings about the patient's diet deviation degree according to the dynamic optimization index of diet compliance.

[0009] Optionally, the computing terminal includes an image recognition module for performing image recognition on the food photos to identify the food types and portions in order to calculate the actual intake.

[0010] Optionally, the computing terminal further includes a nutrition database for storing the nutritional component information of various foods.

[0011] Optionally, calculating the weighted deviation degrees according to the actual intake amount and the recommended intake amount respectively includes:

[0012] Comparing the actual intake amount of each nutrient with the recommended intake amount;

[0013] Setting the importance weight of each nutrient, and then calculating the weighted average value.

[0014] Optionally, detecting and warning the patient's diet deviation degree according to the diet compliance dynamic optimization index includes:

[0015] Real-time feedback of the diet compliance dynamic optimization index and the warning information to the medical staff terminal and the patient terminal;

[0016] The medical staff adjusts the diet formula according to the diet compliance dynamic optimization index and the warning information, and the patient understands his / her diet status and makes adjustments according to the diet compliance dynamic optimization index.

[0017] This application further provides a patient treatment diet intelligent monitoring method based on a mobile intelligent terminal, including:

[0018] Collecting the basic information and disease information of the patient;

[0019] Generating a diet formula according to the disease information;

[0020] Setting the daily diet intake amount according to the diet formula and obtaining the food photo of the patient before eating and drinking water;

[0021] Determining the actual intake amount and the recommended intake amount of nutrients for the patient according to the diet formula and the food photo;

[0022] Calculating the weighted deviation degree, the total recommended amount, the compliance factor and the trend adjustment factor respectively according to the actual intake amount and the recommended intake amount;

[0023] Calculating the diet compliance dynamic optimization index according to the weighted deviation degree, the total recommended amount, the compliance factor and the trend adjustment factor;

[0024] Detecting and warning the patient's diet deviation degree according to the diet compliance dynamic optimization index.

[0025] Optionally, determining the actual intake amount and the recommended intake amount of nutrients for the patient according to the diet formula and the food photo includes:

[0026] Performing image recognition on the food photo to identify the food type and quantity, so as to calculate the actual intake amount.

[0027] Optionally, it further includes: retrieving the nutritional component information of various foods from a nutritional database.

[0028] Optionally, calculating the weighted deviation degrees according to the actual intake amount and the recommended intake amount respectively, including:

[0029] Comparing the actual intake amount of each nutrient with the recommended intake amount;

[0030] Setting the importance weight of each nutrient, and then calculating the weighted average value.

[0031] Optionally, detecting and warning the patient's diet deviation degree according to the dynamic optimization index of diet compliance, including:

[0032] Real-time feedback of the dynamic optimization index of diet compliance and the warning information to the medical staff side and the patient side;

[0033] Medical staff adjust the diet formula according to the dynamic optimization index of diet compliance and the warning information, and the patient understands his / her diet status and makes adjustments according to the dynamic optimization index of diet compliance.

[0034] The beneficial effects of the present application are:

[0035] Invention point 1: Dynamic optimization index of diet compliance

[0036] Invention point 2: Acquisition steps of the actual intake amount

[0037] This application provides a smart monitoring system for patients' therapeutic diets based on mobile intelligent terminals, including: a medical staff terminal, a patient terminal, and a computing terminal; the medical staff terminal is used to collect the basic information and disease information of patients; generate a diet formula according to the disease information; the patient terminal is used to set the daily diet intake according to the diet formula and obtain the food photos of the patient before eating or drinking water; the computing terminal is used to obtain the diet formula and the food photos; determine the actual intake and recommended intake of nutrients for the patient according to the diet formula and the food photos; calculate the weighted deviation degree, total recommended amount, compliance factor, and trend adjustment factor according to the actual intake and the recommended intake respectively; calculate the dynamic optimization index of diet compliance according to the weighted deviation degree, total recommended amount, compliance factor, and trend adjustment factor; detect and give early warnings about the patient's diet deviation degree according to the dynamic optimization index of diet compliance. This application calculates the actual intake and recommended intake of nutrients for the patient by analyzing the diet formula and food photos through intelligent algorithms. On this basis, the weighted deviation degree, total recommended amount, compliance factor, and trend adjustment factor are further calculated, so as to comprehensively evaluate the patient's diet compliance and reflect the real-time status and development trend of the patient's diet deviation degree. When the diet compliance is lower than a certain threshold, the system will automatically trigger an early warning to remind the patient and medical staff to take measures to make adjustments in time, effectively improving the effect of diet detection. Description of the Drawings

[0038] Figure 1 is a schematic diagram of the smart monitoring system for patients' therapeutic diets based on mobile intelligent terminals in this application;

[0039] Figure 2 is a schematic diagram of the smart monitoring process for patients' therapeutic diets based on mobile intelligent terminals in this application. Detailed Embodiments

[0040] Hereinafter, exemplary embodiments of the present disclosure will be described in more detail with reference to the drawings. Although the exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments described herein. On the contrary, the embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0041] Please refer to Figure 1 as shown, this application provides a smart monitoring system for patients' therapeutic diets based on mobile intelligent terminals, including: a medical staff terminal 101, a patient terminal 102, and a computing terminal 103.

[0042] The medical staff terminal 101 is used to collect the basic information and disease information of patients; generate a diet formula according to the disease information.

[0043] Open the healthcare provider application 101 and enter the login interface. Enter the preset username and password, or log in through other authentication methods (such as fingerprint recognition, facial recognition). When logging in for the first time, perform some initialization settings, such as setting personal preferences and selecting the affiliated medical institution.

[0044] On the main interface of the healthcare provider application 101 or in the patient management module, click the "New Patient" button to start creating a new patient profile. Follow the prompts and enter the patient's basic information one by one, such as name, age, gender, contact information (such as mobile phone number, email), and home address. After completing the information entry, click the "Save" or "Submit" button to save the patient's basic information to the system.

[0045] In the patient profile, find the "Disease Information" module or a similarly named module and click to enter. According to the patient's actual situation, record in detail the diagnosis results, symptom descriptions, examination results (such as blood test reports, imaging examination reports), treatment history, and other information. These information are recorded through methods such as text input, uploading documents or pictures.

[0046] After completing the disease information entry, click the "Save" button. As the patient's treatment progresses, update the disease information at any time.

[0047] In the patient management module, find the patient for whom a diet plan is to be generated and click to enter their profile. In the patient profile, find the "Diet Plan" module or a similarly named module and click to enter. The system will automatically analyze and generate a personalized diet plan based on the patient's disease information and preset nutritional principles.

[0048] According to nutritional principles, set the nutritional requirements corresponding to different disease types. For example, patients with cardiovascular diseases need to control their fat and cholesterol intake, and patients with diabetes need to control their carbohydrate intake.

[0049] Set the recommended intake ranges for nutrients such as daily energy, protein, fat, carbohydrates, vitamins, and minerals. Use intelligent algorithms to calculate the recommended intakes of daily energy and various nutrients based on the patient's disease information and basic physiological parameters.

[0050] The algorithm can be based on the food exchange portion method, dividing foods into different portions according to calories, which is convenient for patients to understand and execute.

[0051] For example: Taking 90 kcal of food as one portion, if a female needs to consume 1800 kcal per day, then this female should eat 20 portions; calculating based on a male consuming 2100 kcal per day, then this male needs to eat 23 portions. The formula for the energy required per person per day: Energy (kcal) = Ideal body weight (kg) × Energy required per kilogram of ideal body weight per day (kcal / kg ideal body weight / day). Among them, Ideal body weight (kg) = Height (cm) - 105; The energy required per kilogram of ideal body weight per day can be calculated according to BMI. For emaciation (BMI < 18.5), it is 35 kcal / kg / day, for normal (18.5 ≤ BMI ≤ 23.9), it is 30 kcal / kg / day, for overweight (24 ≤ BMI ≤ 27.9), it is 20 - 25 kcal / kg / day, and for obesity (BMI ≥ 28), it is 20 - 25 kcal / kg / day.

[0052] It is also necessary to consider the patient's dietary preferences, allergy history, etc. to generate a diet formula that meets the patient's needs.

[0053] According to the algorithm analysis results, generate a personalized diet formula, including the types, portions, and cooking methods of food for three meals a day. The formula should include a rich variety of food ingredients to ensure that the patient obtains comprehensive nutrition.

[0054] The formula should consider the seasonality and availability of food ingredients so that patients can easily purchase and prepare them.

[0055] The generated diet formula will be displayed on the screen, and medical staff will carefully check and adjust it according to the actual situation. The adjustments include increasing or decreasing the types of food, adjusting the intake, etc.

[0056] After completing the adjustment, click the "Save" button to save the diet formula to the system.

[0057] The patient terminal 102 is used to set the daily diet intake according to the diet formula and obtain the food photos of the patient before eating and drinking;

[0058] The patient terminal 102 is an application program designed based on mobile intelligent terminals (such as smart phones, tablets, etc.). Its main function is to assist patients in setting the daily diet intake according to the diet formula generated by the medical staff terminal and obtain the food photos taken by the patient before eating.

[0059] The patient terminal 102 will receive a personalized diet formula from the medical staff terminal, which details the types, quantities, and cooking methods of food that the patient should consume every day. The patient views the detailed content of the diet formula in the application program, including the food list for each meal, the recommended portion sizes, and any special cooking or eating instructions.

[0060] According to the diet recipe, the patient sets their daily diet intake in the application. This includes selecting specific meal times (such as breakfast, lunch, dinner, etc.), and then choosing or entering the corresponding food portions and types for each meal.

[0061] The patient terminal 102 sets a reminder function to help the patient eat at the scheduled time and record the actual situation of each meal. This helps the patient maintain regular eating habits and keep track of their diet intake at any time.

[0062] Before each meal, the patient uses the camera function of the mobile intelligent terminal to take pictures of the food. These pictures should clearly show the type, portion, and cooking status of the food. After taking the pictures, the patient uploads the pictures to the system through the patient terminal 102. This usually involves selecting the pictures, confirming the upload, and adding additional descriptions (such as food name, intake, etc.).

[0063] The computing terminal 103 is used to obtain the diet recipe and the food pictures; determine the actual intake and recommended intake of nutrients for the patient according to the diet recipe and the food pictures;

[0064] A pre-prepared nutrition database is loaded in the computing terminal 103. This database should contain the nutritional composition information of various foods, including but not limited to key nutrients such as protein, fat, carbohydrates, vitamins, and minerals.

[0065] The computing terminal 103 receives the diet recipe data from the medical staff terminal 101 through the network interface. The received data is parsed and processed to extract the types and quantities of foods that the patient should consume daily, and the recommended intake is calculated by combining the nutritional composition information.

[0066] The computing terminal 103 also receives the food pictures from the patient terminal 102 through the network interface. The received food pictures are preprocessed, including adjusting the image size, resolution, color balance, etc., to improve the accuracy of image recognition. The preprocessed pictures are recognized using the image recognition module. The recognition process includes extracting the feature information (such as shape, color, texture, etc.) in the pictures and matching them with the food models in the nutrition database.

[0067] Determine the type and portion of the food in the picture according to the matching result.

[0068] A preferred method is that during the patient's eating process, the food pictures are obtained by checking at fixed times, and the type and portion of the food in the picture are determined according to the matching result. The types and portions of the food in multiple pictures are weighted and summed to obtain the final type and portion of the food.

[0069] Calculate the actual intake of each nutrient for the patient based on the identified food types and quantities, in combination with the nutrient information in the nutrition database.

[0070] Store the calculation results in the system for subsequent analysis and comparison.

[0071] Calculate the weighted deviation, total recommended amount, compliance factor, and trend adjustment factor based on the actual intake and the recommended intake respectively;

[0072] The weighted deviation represents the weighted difference between the patient's actual intake and the recommended intake. It is calculated by the following formula:

[0073]

[0074] where R i is the recommended amount of the i-th nutrient or food category, A i is the actual intake, and w i is the importance weight.

[0075] By calculating the weighted deviation, the difference between the patient's actual intake and the recommended intake is accurately measured, and the importance weights of different nutrients or food categories are taken into account, thus achieving a refined assessment of the patient's dietary intake.

[0076] The total recommended amount represents the sum of the recommended amounts of all nutrients or food categories:

[0077]

[0078] The calculation of the total recommended amount takes into account the requirements of all nutrients or food categories, thus providing personalized dietary advice for the patient.

[0079] The compliance factor is used to reflect the patient's dietary compliance. It is calculated by the following formula:

[0080]

[0081] where ComplianceRate is the current compliance, and the expression is as follows:

[0082]

[0083] Compliance Rate Baseline is the baseline compliance;

[0084]

[0085] α is the compliance adjustment coefficient.

[0086] The introduction of the compliance factor enables the evaluation results to reflect the patient's personal dietary compliance, providing a basis for formulating personalized dietary management plans.

[0087] The trend adjustment factor is used to reflect the changing trend of the patient's dietary deviation. It is calculated by the following formula:

[0088]

[0089] Where DeviationTrend is the current deviation change trend, MaxDeviationTrend is the maximum deviation change trend, and β is the deviation trend adjustment coefficient.

[0090] The use of the trend adjustment factor dynamically reflects the changing trend of the patient's dietary deviation, helping to adjust the dietary management plan in a timely manner to adapt to the actual situation of the patient.

[0091] The deviation change trend represents the changing trend of the patient's dietary deviation during the current evaluation period. It is obtained by calculating the average value or change rate of the patient's dietary deviation over a period of time.

[0092] The maximum deviation change trend represents the maximum deviation change trend observed theoretically or historically. This value may be determined based on previous studies, expert opinions, or historical data of a specific patient group. It is used to standardize the actual deviation change trend for comparison between different patients or different time periods.

[0093] Calculate the dynamic optimization index of dietary compliance according to the weighted deviation, total recommended amount, compliance factor, and trend adjustment factor. The expression is as follows:

[0094]

[0095] The weighted deviation represents the degree of compliance between the patient's dietary intake and the recommended intake. The larger this value, the lower the degree of compliance.

[0096] Then, divide this degree of compliance by the total recommended amount for standardization to obtain a value between 0 and 1, representing the relative non-compliance degree. Subtract this value from 1 to get the relative compliance degree.

[0097] Next, multiply by the compliance factor to consider the patient's degree of adherence to the dietary plan. If the patient's degree of adherence is high, the value will increase accordingly.

[0098] Finally, multiply by the trend adjustment factor to reflect the changing trend of the patient's dietary deviation. If the trend is favorable (i.e., the deviation is decreasing), the trend adjustment factor will increase the value; if the trend is unfavorable (i.e., the deviation is increasing), the trend adjustment factor will decrease the value.

[0099] By calculating the average value or change rate of the patient's diet deviation over a period of time, subtle changes in the patient's eating habits are captured, enabling early intervention measures to be taken to prevent the deviation from further increasing.

[0100] The calculation of the dynamic optimization index of diet compliance combines multiple evaluation indicators, forming a concise and clear evaluation result, which is convenient for medical staff to quickly understand the patient's diet status, thus improving management efficiency.

[0101] By providing personalized diet advice and dynamic evaluation results, it helps to enhance the patient's sense of participation and responsibility in diet management, thus improving the patient's diet compliance.

[0102] Detect and give early warning of the patient's diet deviation according to the dynamic optimization index of diet compliance.

[0103] Setting a threshold is a key step in detecting and warning of diet deviation.

[0104] Consider the patient's basic information such as age, gender, height, weight, basal metabolic rate, etc. Evaluate the patient's health status, including whether there are chronic diseases, allergy history, special diet requirements, etc. Analyze the patient's eating habits and preferences, as well as the previous diet deviation situation.

[0105] Taking into account the opinions of the medical team, set one or more thresholds. The threshold can be fixed or dynamic and adjusted according to the patient's specific situation.

[0106] Ensure that the threshold can not only reflect the patient's diet deviation situation, but also provide timely warning information for medical staff.

[0107] Furthermore, when setting multiple thresholds, the meaning of each threshold and the corresponding intervention measures should be clearly defined.

[0108] Compare the real-time calculated PDCOI value with the set threshold. If the PDCOI value is lower than a certain threshold, the warning mechanism is triggered.

[0109] The warning mechanism can include various methods such as sound prompt, pop-up prompt, SMS notification, etc. The warning information should clearly indicate the patient's diet deviation situation and the intervention measures to be taken.

[0110] Real-time feedback and adjustment are key steps to ensure the continuous optimization of the patient's diet compliance. The PDCOI value and warning information are fed back to the medical staff side and the patient side in real time.

[0111] The medical staff side can receive this information through the hospital's information system or mobile device to take timely intervention measures. The patient side can receive this information through the mobile phone APP, text message or other means to understand their dietary status.

[0112] Based on the PDCOI value and warning information, the medical staff adjusts the diet formula in combination with the patient's specific situation and nutritional needs.

[0113] The patient understands their dietary status by checking the PDCOI value and warning information. According to the suggestions of the medical staff, the patient can make self-adjustments to improve eating habits.

[0114] This application also provides a smart monitoring method for the therapeutic diet of patients based on a mobile intelligent terminal, including:

[0115] S201. Collect the basic information and disease information of the patient;

[0116] S202. Generate a diet formula according to the disease information;

[0117] S203. Set the daily diet intake according to the diet formula and obtain the food photos of the patient before eating and drinking;

[0118] S204. Determine the actual intake and recommended intake of nutrients for the patient according to the diet formula and the food photos;

[0119] S205. Calculate the weighted deviation degree, total recommended amount, compliance factor and trend adjustment factor respectively according to the actual intake and the recommended intake;

[0120] S206. Calculate the dynamic optimization index of diet compliance according to the weighted deviation degree, total recommended amount, compliance factor and trend adjustment factor;

[0121] S207. Detect and give early warnings about the patient's diet deviation degree according to the dynamic optimization index of diet compliance.

[0122] Further, determining the actual intake and recommended intake of nutrients for the patient according to the diet formula and the food photos includes:

[0123] Perform image recognition on the food photos to identify the food types and portions to calculate the actual intake.

[0124] Further, it also includes: retrieving the nutritional component information of various foods from the nutrition database.

[0125] Optionally, calculating the weighted deviation degree respectively according to the actual intake and the recommended intake includes:

[0126] Compare the actual intake of each nutrient with the recommended intake;

[0127] Set the importance weight of each nutrient, and then calculate the weighted average.

[0128] Furthermore, detect and give early warnings about the patient's diet deviation according to the dynamic optimization index of diet compliance, including:

[0129] Feed back the dynamic optimization index of diet compliance and the early warning information to the medical staff side and the patient side in real time;

[0130] Medical staff adjust the diet formula according to the dynamic optimization index of diet compliance and the early warning information, and patients understand their own diet conditions and make adjustments according to the dynamic optimization index of diet compliance.

Claims

1. A patient treatment diet intelligent monitoring system based on a mobile intelligent terminal, characterized in that, It includes: A medical staff side, a patient side, and a computing side; The medical staff side is used to collect the basic information and disease information of the patient; Generate a diet formula according to the disease information; The patient side is used to set the daily diet intake according to the diet formula and obtain the food photos of the patient before eating or drinking; The computing side is used to obtain the diet formula and the food photos; Determine the actual intake and recommended intake of nutrients for the patient according to the diet formula and the food photos; Calculate the weighted deviation degree, total recommended amount, compliance factor, and trend adjustment factor respectively according to the actual intake and the recommended intake; Calculate the dynamic optimization index of diet compliance according to the weighted deviation degree, total recommended amount, compliance factor, and trend adjustment factor; Detect and give early warnings about the patient's diet deviation degree according to the dynamic optimization index of diet compliance.

2. The intelligent monitoring system for the therapeutic diet of patients based on a mobile intelligent terminal according to claim 1, characterized in that, The computing side includes an image recognition module, which is used to perform image recognition on the food photos, identify the food types and portions, so as to calculate the actual intake.

3. The intelligent monitoring system for the therapeutic diet of patients based on a mobile intelligent terminal according to claim 1, characterized in that, The computing side also includes a nutrition database, which is used to store the nutritional component information of various foods.

4. The intelligent monitoring system for the therapeutic diet of patients based on a mobile intelligent terminal according to claim 1, wherein Calculating the weighted deviation degree respectively according to the actual intake and the recommended intake includes: Compare the actual intake of each nutrient with the recommended intake; Set the importance weight of each nutrient, and then calculate the weighted average value.

5. The intelligent monitoring system for the therapeutic diet of patients based on a mobile intelligent terminal according to claim 1, characterized in that, Detecting and giving early warnings about the patient's diet deviation degree according to the dynamic optimization index of diet compliance includes: Real-time feedback the dynamic optimization index of diet compliance and the early warning information to the medical staff side and the patient side; Medical staff adjust the diet formula according to the dynamic optimization index of diet compliance and the early warning information, and patients understand their diet conditions and make adjustments according to the dynamic optimization index of diet compliance.

6. A smart monitoring method for the therapeutic diet of patients based on a mobile intelligent terminal, characterized in that, It includes: Collect the basic information and disease information of the patient; Generate a diet formula according to the disease information; Set the daily diet intake according to the diet formula and obtain the food photos of the patient before eating or drinking; Determine the actual intake and recommended intake of nutrients for the patient according to the diet formula and the food photos; Calculate the weighted deviation degree, total recommended amount, compliance factor, and trend adjustment factor respectively according to the actual intake and the recommended intake; Calculate the dynamic optimization index of diet compliance according to the weighted deviation degree, total recommended amount, compliance factor, and trend adjustment factor; Detect and give early warnings about the patient's diet deviation degree according to the dynamic optimization index of diet compliance.

7. The intelligent monitoring method for the treatment diet of patients based on a mobile intelligent terminal according to claim 6, wherein Determining the actual intake and recommended intake of nutrients for the patient according to the diet formula and the food photos includes: Perform image recognition on the food photos, identify the food types and portions, so as to calculate the actual intake.

8. The intelligent monitoring method for the therapeutic diet of patients based on a mobile intelligent terminal according to claim 6, wherein, It also includes: Retrieve the nutritional component information of various foods from the nutrition database.

9. The intelligent monitoring method for the therapeutic diet of patients based on a mobile intelligent terminal according to claim 6, characterized in that, Calculating the weighted deviation degree respectively according to the actual intake and the recommended intake includes: Compare the actual intake of each nutrient with the recommended intake; Set the importance weight of each nutrient, and then calculate the weighted average value.

10. The intelligent monitoring method for a patient's therapeutic diet based on a mobile intelligent terminal according to claim 6, characterized in that, Detecting and giving early warnings about the patient's diet deviation degree according to the dynamic optimization index of diet compliance includes: Dynamically optimize the diet compliance index and real-time feedback the warning information to the medical staff side and the patient side; Medical staff adjust the diet formula according to the dynamically optimized diet compliance index and warning information, and patients understand their diet status and make adjustments according to the dynamically optimized diet compliance index.

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