Method for generating diet intervention scheme

Abstract

The invention discloses a diet intervention scheme generation method, and belongs to the technical field of diabetic diet intervention, and the method comprises the following steps: obtaining related information of a target user, calculating a BMI of the user, carrying out mode selection, inputting designated information by the user, carrying out automatic calculation by a program, and automatically matching a diet scheme. According to the method, the traditional diet intervention process of a nutritionist is abandoned, relevant data can be quickly obtained through BMI calculation, the matched diet scheme can be automatically obtained through mutual combination of the relevant data and the collected information data, the diet intervention cost can be greatly reduced through the method, the operation process is simple and easy to implement, and the method is suitable for popularization and application. According to the method, most diabetic patients can obtain effective materials, and the method can be customized according to the dietary habits of the diabetic patients on the premise of safety, so that the application effectiveness and scientificity of the method are greatly improved.

Description

Technical Field

[0001] The invention belongs to the technical field of diabetes dietary intervention, and in particular relates to a method for generating a dietary intervention program. Background Art

[0002] Diabetes is a metabolic disease characterized by a state of hyperglycemia due to insufficient insulin secretion or insulin resistance. Insulin is a key hormone that regulates blood sugar levels. When insulin secretion is insufficient or fails to function normally, blood sugar levels will rise, leading to a series of complications. The occurrence of diabetes is the result of the combined effects of genetic and environmental factors. Genetic factors include family history, while environmental factors include unhealthy lifestyle habits (such as high-sugar, high-fat diets, lack of exercise), aging, obesity, hypertension, dyslipidemia, etc. In order to treat diabetic patients, dietary intervention is necessary.

[0003] The Chinese patent discloses (CN114429809A) a method and system for generating an individualized nutrition plan for diabetic patients, wherein the method includes: S1, obtaining the total energy required for the patient to maintain normal life every day; S2, classifying the patients, and determining the three major nutritional proportions and the weight of cellulose required by the patients every day according to the categories; S3, determining the number of meals the patient has every day and the nutritional weight of the three major nutrients and cellulose in each meal; S4, taking the nutritional weight of each meal as the end point, and taking the nutritional composition table of the ingredients in the recipe table as the starting point, the weight of each ingredient in the recipe table of each meal is adjusted by the support vector machine (SVM) to calculate the nutritional composition table and recipe of each meal; S5, customizing a personalized nutrition plan and recommending the recipe to the corresponding category of patients. According to the patient's height, weight, physical activity type, biochemical indicators and other parameters, provide the patient with weekly or daily recipes, photos of each recipe and the weight of various ingredients therein, and provide the patient with customized education materials to achieve the purpose of intervening in the patient's health management through a diet plan. Automatic calculation to meet the energy and nutritional intake needs of patients of different categories. This program can achieve the purpose of intervening in the health management of patients through dietary plans, and automatically calculate to meet the energy and nutritional intake needs of patients of different categories. Today's nutritional dietary intervention for diabetes is overly dependent on nutritionists, the treatment process is relatively complicated, and nutritionists charge high fees, which leads to many diabetic patients being unable to receive treatment and the actual application effect is not good. In order to solve this problem, a method for generating dietary intervention plans is urgently needed. Summary of the invention

[0004] The purpose of the present invention is to propose a method for generating a dietary intervention plan in order to solve the problem that the current nutritional dietary intervention for diabetes is overly dependent on nutritionists, the treatment process is relatively complicated, the nutritionists charge high fees, which leads to many diabetic patients being unable to receive treatment and the actual application effect is poor.

[0005] In order to achieve the above object, the present invention adopts the following technical solution: a method for generating a dietary intervention plan, comprising the following steps:

[0006] S1. Obtain relevant information of the target user;

[0007] S2, calculating the user's BMI;

[0008] S3, select a mode;

[0009] S4, the user inputs specified information;

[0010] S5, the program performs automatic calculation;

[0011] S6. Automatically match diet plan.

[0012] As a further description of the above technical solution:

[0013] In S1, relevant information of the target user is obtained, and the obtained relevant information includes attribute information of the user's age, gender, height, weight, age, and whether the user has diabetes.

[0014] As a further description of the above technical solution:

[0015] In S2, the program calculates the BMI value of the user according to the BMI calculation formula.

[0016] As a further description of the above technical solution:

[0017] In S3, a mode selection is performed. Specifically, if the BMI value exceeds 24, the user's mode is a weight loss model, and a 10% weight loss period is required during a 3-6 month intervention period. If the BMI value is lower than 24, the user's mode is an exercise model, and the number of exercises needs to be increased during a 3-6 month intervention period, and no weight loss requirement is required.

[0018] As a further description of the above technical solution:

[0019] In S4, the user inputs designated information, which includes the most recent glycosylated hemoglobin index, information on diabetes complications, and work type information. The work type mainly distinguishes between light physical strength, medium physical strength, and heavy physical strength.

[0020] As a further description of the above technical solution:

[0021] In S5, the program performs automatic calculation, and the specific steps are: the program obtains the ideal weight according to the user's height-105, and then multiplies the ideal weight by the matrix of the user's BMI range and work type to obtain the user's ideal daily calorie intake.

[0022] As a further description of the above technical solution:

[0023] In S6, the diet plan is automatically matched, specifically, the steps are: according to the complication of the user, the diet plan with the closest calories is matched in the plan library. If the complication is kidney disease, the kidney disease plan library is used; if there is no kidney disease but high uric acid, the high uric acid plan library is used; otherwise, the conventional plan library is used.

[0024] As a further description of the above technical solution:

[0025] In S6, the matching solution method is to calculate the difference between the user's target calories and the calories of all solutions in the solution library, and select the solution with the smallest difference.

[0026] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are:

[0027] In the present invention, the method abandons the traditional process of nutritionist intervention in diet, and can quickly obtain relevant data by adopting BMI calculation. By combining the relevant data with the collected information data, a matching diet plan can be automatically obtained. The method can greatly reduce the cost of dietary intervention, and the operation process is simple and easy, which can enable most diabetic patients to obtain effective materials. The method can also be customized according to the dietary habits of diabetic patients under the premise of safety, which greatly improves the application effectiveness and scientificity of the method. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 A flowchart of a method for generating a dietary intervention plan. DETAILED DESCRIPTION

[0029] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0030] Example 1

[0031] See also Figure 1 The present invention provides a technical solution: a method for generating a dietary intervention plan, comprising the following steps:

[0032] S1. Obtain relevant information of the target user, including the user's age, gender, height, weight, age, and whether the user has diabetes;

[0033] S2, the program calculates the user's BMI value according to the BMI calculation formula;

[0034] S3, select a mode. Specifically, if the BMI value is over 24, the user's mode is a weight loss model, and a 10% weight loss is required during the 3-month intervention period. If the BMI value is under 24, the user's mode is an exercise model, and an increase in exercise frequency is required during the 3-month intervention period, and no weight loss requirement is required.

[0035] S4. The user inputs specified information, which includes the most recent glycosylated hemoglobin index, information on diabetes complications, and work type information. The work type mainly includes light physical work, medium physical work, and heavy physical work;

[0036] S5, the program automatically calculates, the specific steps are: the program obtains the ideal weight according to the user's height minus 105, and then multiplies the ideal weight by the matrix of the user's BMI range and work type to obtain the user's ideal daily calorie intake;

[0037] S6. Automatically match the diet plan. The specific steps are as follows: according to the user's complications, match the diet plan with the closest calories in the plan library. If the complication is kidney disease, the kidney disease plan library is used. If there is no kidney disease but high uric acid, the high uric acid plan library is used. In other cases, the conventional plan library is used. The matching method is to calculate the difference between the user's target calories and the calories of all the plans in the plan library, and take the plan with the smallest difference.

[0038] In this embodiment, the method abandons the traditional process of nutritionist intervention in diet, and can quickly obtain relevant data through BMI calculation. By combining the relevant data with the collected information data, a matching diet plan can be automatically obtained. Using this method can greatly reduce the cost of dietary intervention.

[0039] Example 2

[0040] See also Figure 1 The present invention provides a technical solution: a method for generating a dietary intervention plan, comprising the following steps:

[0041] S1. Obtain relevant information of the target user, including the user's age, gender, height, weight, age, and whether the user has diabetes;

[0042] S2, the program calculates the user's BMI value according to the BMI calculation formula;

[0043] S3, select a mode. Specifically, if the BMI value is over 24, the user's mode is a weight loss model, and a 10% weight loss is required during the 4-month intervention period. If the BMI value is under 24, the user's mode is an exercise model, and an increase in exercise frequency is required during the 4-month intervention period, and no weight loss requirement is required.

[0044] S4. The user inputs specified information, which includes the most recent glycosylated hemoglobin index, information on diabetes complications, and work type information. The work type mainly includes light physical work, medium physical work, and heavy physical work;

[0045] S5, the program automatically calculates, the specific steps are: the program obtains the ideal weight according to the user's height minus 105, and then multiplies the ideal weight by the matrix of the user's BMI range and work type to obtain the user's ideal daily calorie intake;

[0046] S6. Automatically match the diet plan. The specific steps are as follows: according to the user's complications, match the diet plan with the closest calories in the plan library. If the complication is kidney disease, the kidney disease plan library is used. If there is no kidney disease but high uric acid, the high uric acid plan library is used. In other cases, the conventional plan library is used. The matching method is to calculate the difference between the user's target calories and the calories of all the plans in the plan library, and take the plan with the smallest difference.

[0047] In this embodiment, the method is simple and easy to operate, and can enable most diabetic patients to obtain effective materials. The method can also be customized according to the dietary habits of diabetic patients under the premise of safety, which greatly improves the application effectiveness and scientificity of the method.

[0048] Example 3

[0049] See also Figure 1 The present invention provides a technical solution: a method for generating a dietary intervention plan, comprising the following steps:

[0050] S1. Obtain relevant information of the target user, including the user's age, gender, height, weight, age, and whether the user has diabetes;

[0051] S2, the program calculates the user's BMI value according to the BMI calculation formula;

[0052] S3, select a mode. Specifically, if the BMI value is over 24, the user's mode is a weight loss model, and a 10% weight loss period is required during the 5-month intervention period. If the BMI value is under 24, the user's mode is an exercise model, and an increase in exercise frequency is required during the 5-month intervention period, and no weight loss requirement is required.

[0053] S4. The user inputs specified information, which includes the most recent glycosylated hemoglobin index, information on diabetes complications, and work type information. The work type mainly includes light physical work, medium physical work, and heavy physical work;

[0054] S5, the program automatically calculates, the specific steps are: the program obtains the ideal weight according to the user's height minus 105, and then multiplies the ideal weight by the matrix of the user's BMI range and work type to obtain the user's ideal daily calorie intake;

[0055] S6. Automatically match the diet plan. The specific steps are as follows: according to the user's complications, match the diet plan with the closest calories in the plan library. If the complication is kidney disease, the kidney disease plan library is used. If there is no kidney disease but high uric acid, the high uric acid plan library is used. In other cases, the conventional plan library is used. The matching method is to calculate the difference between the user's target calories and the calories of all the plans in the plan library, and take the plan with the smallest difference.

[0056] In this embodiment, the method abandons the traditional process of nutritionist intervention in diet, and can quickly obtain relevant data through BMI calculation. By combining the relevant data with the collected information data, a matching diet plan can be automatically obtained. The method can greatly reduce the cost of dietary intervention, and the operation process is simple and easy, which can enable most diabetic patients to obtain effective materials. The method can also be customized according to the dietary habits of diabetic patients under the premise of safety, which greatly improves the application effectiveness and scientificity of the method.

[0057] Example 4

[0058] See also Figure 1 The present invention provides a technical solution: a method for generating a dietary intervention plan, comprising the following steps:

[0059] S1. Obtain relevant information of the target user, including the user's age, gender, height, weight, age, and whether the user has diabetes;

[0060] S2, the program calculates the user's BMI value according to the BMI calculation formula;

[0061] S3, select a mode. Specifically, if the BMI value is over 24, the user's mode is a weight loss model, and a 10% weight loss is required during the 6-month intervention period. If the BMI value is under 24, the user's mode is an exercise model, and an increase in exercise frequency is required during the 6-month intervention period, and no weight loss requirement is required.

[0062] S4. The user inputs specified information, which includes the most recent glycosylated hemoglobin index, information on diabetes complications, and work type information. The work type mainly includes light physical work, medium physical work, and heavy physical work;

[0063] S5, the program automatically calculates, the specific steps are: the program obtains the ideal weight according to the user's height minus 105, and then multiplies the ideal weight by the matrix of the user's BMI range and work type to obtain the user's ideal daily calorie intake;

[0064] S6. Automatically match the diet plan. The specific steps are as follows: according to the user's complications, match the diet plan with the closest calories in the plan library. If the complication is kidney disease, the kidney disease plan library is used. If there is no kidney disease but high uric acid, the high uric acid plan library is used. In other cases, the conventional plan library is used. The matching method is to calculate the difference between the user's target calories and the calories of all the plans in the plan library, and take the plan with the smallest difference.

[0065] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A method for generating a dietary intervention program, characterized in that: The steps include: S1. Obtain relevant information of the target user; S2, calculating the user's BMI; S3, select a mode; S4, the user inputs specified information; S5, the program performs automatic calculation; S6. Automatically match diet plan.

2. The method for generating a dietary intervention plan according to claim 1, characterized in that: In S1, relevant information of the target user is obtained, and the obtained relevant information includes attribute information of the user's age, gender, height, weight, age, and whether the user has diabetes.

3. The method for generating a dietary intervention program according to claim 1, characterized in that: In S2, the program calculates the BMI value of the user according to the BMI calculation formula.

4. The method for generating a dietary intervention program according to claim 1, characterized in that: In S3, a mode selection is performed. Specifically, if the BMI value exceeds 24, the user's mode is a weight loss model, and a 10% weight loss period is required during a 3-6 month intervention period. If the BMI value is lower than 24, the user's mode is an exercise model, and the number of exercises needs to be increased during a 3-6 month intervention period, and no weight loss requirement is required.

5. The method for generating a dietary intervention program according to claim 1, characterized in that: In S4, the user inputs designated information, which includes the most recent glycosylated hemoglobin index, information on diabetes complications, and work type information. The work type mainly distinguishes between light physical strength, medium physical strength, and heavy physical strength.

6. The method for generating a dietary intervention plan according to claim 1, characterized in that: In S5, the program performs automatic calculation, and the specific steps are: the program obtains the ideal weight according to the user's height-105, and then multiplies the ideal weight by the matrix of the user's BMI range and work type to obtain the user's ideal daily calorie intake.

7. The method for generating a dietary intervention program according to claim 1, characterized in that: In S6, the diet plan is automatically matched, specifically, the steps are: according to the complication of the user, the diet plan with the closest calories is matched in the plan library. If the complication is kidney disease, the kidney disease plan library is used; if there is no kidney disease but high uric acid, the high uric acid plan library is used; otherwise, the conventional plan library is used.

8. The method for generating a dietary intervention program according to claim 1, characterized in that: In S6, the matching solution method is to calculate the difference between the user's target calories and the calories of all solutions in the solution library, and select the solution with the smallest difference.

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