A menu planning strategy optimization processing method and system

Abstract

The application provides a meal arrangement strategy optimization processing method and system, and belongs to the technical field of strategy optimization. Specifically, patients of a target disease type are regarded as target patients, the matching conditions of the target patients' dietary taboos and different matching meals of different body indexes are determined, the matching meals of the target patients' physical examination indexes are used as the basis to determine strategy optimization patients in the target patients, the examination plans of the strategy optimization patients in the current treatment stage are determined, and the optimization adjustment mode of the meal arrangement strategy of the strategy optimization patients in the treatment stage is determined in combination with the current matching meals, so that the accuracy of meal arrangement processing is improved.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of strategy optimization, and particularly relates to a meal arrangement strategy optimization processing method and system. BACKGROUND

[0002] In order to realize personalized meal arrangement processing for patients, in the invention patent application CN111143420A "Meal arrangement method and device, electronic equipment and computer storage medium", identity information and allergy source information corresponding to the user in the database are extracted, the allergy source information is used to avoid dangerous food materials for the user in current food materials, and finally a meal arrangement strategy special for the user is output. However, the following technical problems exist.

[0003] With the change of the treatment process, the physical indicators of the user will also change, so that the fixed meal arrangement strategy may not match the change of the physical indicators of the user, which makes it become an urgent technical problem to solve how to dynamically adjust the meal arrangement strategy according to the change of the treatment process of the user to avoid the technical problem of poor user experience caused by the small number of matched meals.

[0004] To solve the above technical problems, the application provides a meal arrangement strategy optimization processing method and system. SUMMARY

[0005] To achieve the purpose of the application, the application adopts the following technical solutions:

[0006] Specifically, the application provides a meal arrangement strategy optimization processing method, which specifically includes:

[0007] S1 determining the change of the matched examination indicators of different patients of a disease type, and determining the changed physical indicators of the disease type based on the change;

[0008] S2 determining the matched meals of different changed physical indicators in different intervals based on the nutritional indicators of the meals, and determining a target disease type in the disease type based on the change of the number of matched meals of different patients in different treatment stages;

[0009] S3 taking a patient of the target disease type as a target patient, and determining a strategy optimization patient in the target patient based on the matching condition of the dietary taboo of the target patient and the matched meals of different changed physical indicators in different intervals, and the matched meals of the physical examination indicators of the target patient;

[0010] S4 determining an examination plan of the strategy optimization patient in a current treatment stage, and determining an optimization adjustment mode of a meal arrangement strategy of the strategy optimization patient in the treatment stage in combination with the current matched meals.

[0011] The beneficial effects of the present application are:

[0012] The matching of the dietary restrictions of the target patient and the matching meal in different intervals of different changing body indicators is determined based on the matching meal of the physical examination indicators of the target patient, and the strategy optimization patient in the target patient is determined, which takes into account the difference in the number of matching meals due to the updating of the meal strategy when the body indicators change due to the difference in dietary restrictions, and also takes into account the difference in the number of matching meals, the difference in the updating demand of the meal strategy, and further realizes the differentiated implementation of the updating and adjusting mode of the meal strategy for different target patients.

[0013] The examination plan of the strategy optimization patient in the current treatment stage and the current matching meal determine the optimization and adjustment mode of the meal strategy of the strategy optimization patient in the treatment stage, which realizes the differentiated optimization and adjustment mode of the examination frequency and the number of matching meals of the strategy optimization patient, that is, ensures the timeliness of the updating process of the strategy optimization patient with less number of matching meals and less examination frequency, and also avoids the occurrence of the technical problem of complex updating process caused by frequent updating process of the strategy optimization patient with more number of matching meals and more examination frequency.

[0014] Further technical solutions are that the matching examination indicators are examination indicators associated with the diagnosis result of the disease type.

[0015] Further technical solutions are that the method for determining the changing body indicators of the disease type is:

[0016] Based on the changing situation of the matching examination indicators of the patients of the disease type, the changing situation of the matching examination indicators of the patients in different adjacent historical examination times is determined.

[0017] According to the changing situation of the matching examination indicators in different adjacent historical examination times, the historical examination times with a change greater than a preset change amount are determined as the changing examination times.

[0018] Based on the proportion of the changing examination times of different patients, it is determined whether the matching examination indicators are changing body indicators.

[0019] Further technical solutions are that when the average value of the proportion of the changing examination times of different patients is greater than a preset changing time proportion threshold, it is determined that the matching examination indicators are changing body indicators.

[0020] Further technical solutions are that when there is no changing body indicator for the disease type, it is determined that there is no need for dynamic adjustment of the meal strategy of the patients of the disease type.

[0021] Further technical solutions are that when the patient does not belong to the strategy optimization patient, the dynamic adjustment processing of the meal arrangement strategy of the patient of the disease type does not need to be performed.

[0022] Further technical solutions are that the method for determining the optimization adjustment mode of the meal arrangement strategy of the strategy optimization patient in the treatment stage is:

[0023] Obtaining the number of current matching meal products of the strategy optimization patient;

[0024] Determining the time interval of different planned examination times and the next planned examination time according to the examination plan of the strategy optimization patient in the current treatment stage;

[0025] Based on the time interval and the number of current matching meal products of the strategy optimization patient, determining the optimization adjustment mode of the meal arrangement strategy of the strategy optimization patient in the different planned examination times in the treatment stage.

[0026] Further technical solutions are that the optimization adjustment of the meal arrangement strategy is performed, and specifically includes:

[0027] Determining the nutritional index requirements corresponding to different physical examination indexes based on the physical examination indexes of the planned examination times;

[0028] According to the meal products meeting the dietary taboo of the strategy optimization patient and meeting the nutritional index requirements, the optimization adjustment of the meal arrangement strategy is performed.

[0029] In a second aspect, the present application provides a computer system, comprising a memory and a processor connected in communication, and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the computer program to perform the meal arrangement strategy optimization processing method.

[0030] Other features and advantages will be set forth in the following description of the application, and in part will be apparent from the description and the accompanying drawings, or can be learned by practice of the application as claimed in the claims.

[0031] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, the following preferred embodiments are specifically described in detail below, and the accompanying drawings are described as follows. BRIEF DESCRIPTION OF DRAWINGS

[0032] The above and other features and advantages of the present application will become more apparent from the detailed description of example embodiments thereof, taken in conjunction with the accompanying drawings.

[0033] Figure 1 A flowchart of a meal arrangement strategy optimization processing method;

[0034] Figure 2 is a flowchart of a method for determining a variable body index of a disease type;

[0035] Figure 3 is a flowchart of a method for determining a target disease type in a disease type;

[0036] Figure 4 is a flowchart of a method for determining a strategy optimization patient in a target patient;

[0037] Figure 5 is a framework diagram of a computer system. DETAILED DESCRIPTION

[0038] In order for those skilled in the art to better understand the technical solutions in the specification, the technical solutions in the specification will be clearly and completely described below in conjunction with the drawings in the specification. Obviously, the described embodiments are only part of the embodiments of the specification, not all. Based on the embodiments of the specification, all other embodiments obtained by those skilled in the art without creative labor should be within the scope of protection of the specification.

[0039] In the present application, the adjustment mode of the differentiated meal arrangement strategy is generated according to the examination frequency of the patient and the number of matching meal products, so as to realize the dynamic update of the meal arrangement strategy of the patient, which not only ensures that the nutrition of the meal product can meet the needs of the patient, but also ensures the timeliness of the update processing of the meal arrangement strategy of the patient.

[0040] Embodiment 1

[0041] As shown in Figure 1 The present application provides a meal arrangement strategy optimization processing method, which specifically comprises:

[0042] S1 determines the variation of the matching examination index of different patients of a disease type, and determines a variable body index of the disease type based on the variation;

[0043] The variable body index is a matching examination index whose proportion of the number of patients with variation in the disease type is greater than 0.6 or more.

[0044] S2 determines the matching meal product of different variable body indexes in different intervals with the nutrition index of the meal product, and determines a target disease type in the disease type based on the variation of the number of matching meal products of different patients in different treatment stages.

[0045] Determine the treatment stage with the number of matching products increased from the previous treatment stage as the meal increase treatment stage according to the variation of the number of matching products of the patient in different treatment stages, and determine the disease type of the patient as the target disease type when the average of the proportion of the number of meal increase quality stages of different patients in the variation of the body index is greater than 0.5.

[0046] S3 takes the patient of the target disease type as the target patient, and determines the strategy optimization patient in the target patient based on the matching of the diet taboo of the target patient and the matching meal in different intervals of different variation body indexes, and the matching meal of the physical examination index of the target patient.

[0047] Determine the matching meal of different variation body indexes that meet the diet taboo according to the matching of the diet taboo of the target patient and the matching meal in different intervals of different variation body indexes, and take it as the patient matching meal, and determine the average variation number of the patient matching meal according to the average of the variation of the number of patient matching meals in different intervals of different variation body indexes.

[0048] When the number of matching meals that meet the diet taboo and the current physical examination index of the target patient is less than the preset matching meal number threshold or the average variation number is greater than the preset variation number threshold, the target patient is determined as the strategy optimization patient.

[0049] S4 determines the examination plan of the strategy optimization patient in the current treatment stage, and determines the optimization adjustment mode of the meal strategy of the strategy optimization patient in the treatment stage in combination with the current matching meal.

[0050] When the number of current matching meals is greater than the meal number threshold, the optimization adjustment of the meal strategy in the treatment stage is not required.

[0051] When the number of current matching meals is not greater than the meal number threshold, when the examination frequency is greater than the preset examination frequency, the number of variation body indexes is greater than 3 or more, and the optimization adjustment of the meal strategy is performed, when the examination frequency is not greater than the preset examination frequency, as long as there is a variation body index, the optimization adjustment of the meal strategy is required.

[0052] Further, the matching examination index is an examination index associated with the diagnosis result of the disease type.

[0053] Specifically, as shown in Figure 2 The method for determining the variation body index of the disease type is:

[0054] determine the variation of the matching examination index of the patient at different adjacent historical examination times based on the variation of the matching examination index of the patients of the disease type;

[0055] determine the historical examination time of the patient with the variation greater than a preset variation amount according to the variation of the matching examination index at different adjacent historical examination times, and take the historical examination time as the variation examination time;

[0056] determine whether the matching examination index is the variation body index based on the proportion of the variation examination time of different patients.

[0057] Further, when the average value of the proportion of the variation examination time of different patients is greater than a preset variation time proportion threshold, it is determined that the matching examination index is the variation body index.

[0058] It can be understood that when the disease type does not have a variation body index, it is determined that the dynamic adjustment processing of the matching strategy of the patients of the disease type is not needed.

[0059] In another possible embodiment, the method for determining the variation body index of the disease type is:

[0060] determine the variation of the matching examination index of the patient at different adjacent historical examination times based on the variation of the matching examination index of the patients of the disease type;

[0061] determine the variation amount of the matching examination index at different adjacent historical examination times according to the variation of the matching examination index at different adjacent historical examination times;

[0062] determine a variation amount average value based on the average value of the variation amount of the matching examination index of different patients at different adjacent historical examination times, and determine whether the matching examination index is the variation body index according to the variation amount average value.

[0063] Further, when the variation amount average value is greater than a preset variation threshold, it is determined that the matching examination index is the variation body index.

[0064] Specifically, the matching food of the variation body index in different intervals is determined according to the matching condition of the nutrition index requirement of the variation body index in the interval for the nutrition index of the matching food, and specifically, the food with the nutrition index meeting the nutrition index requirement is taken as the matching food of the variation body index in the interval.

[0065] It should be noted that the treatment stage is divided according to the hospitalization length of the patient, and specifically, the hospitalization length of the patient is divided into different treatment stages by using a preset time length threshold.

[0066] Specifically, as shown in Figure 3 the method for determining the target disease type in the disease type is:

[0067] determining the increase number of matched meal products of the patient in different treatment stages from the variation of the number of matched meal products of the patient in different treatment stages;

[0068] treatment stage with the increase number greater than the preset increase number threshold as a meal product increase stage;

[0069] determining whether the disease type is the target disease type according to the number of patients in different treatment stages belonging to the meal product increase stage.

[0070] Further, when there is a treatment stage with the number of patients belonging to the meal product increase stage accounting for more than the preset increase patient number ratio threshold in the number of patients of the disease type, it is determined that the disease type is the target disease type.

[0071] It can be understood that when the disease type is not the target disease type, it is determined that the dynamic adjustment processing of the meal arrangement strategy of the patients of the disease type is not needed.

[0072] In another possible embodiment, the method for determining the target disease type in the disease type is:

[0073] determining the increase number of matched meal products of the patient in different treatment stages from the variation of the number of matched meal products of the patient in different treatment stages;

[0074] treatment stage with the increase number greater than the preset increase number threshold as a meal product increase stage;

[0075] determining whether the disease type is the target disease type according to the average of the number of patients in different treatment stages belonging to the meal product increase stage in the number of patients of the disease type.

[0076] Further, when the average of the number of patients in different treatment stages belonging to the meal product increase stage in the number of patients of the disease type is less than the preset number ratio threshold, it is determined that the disease type is not the target disease type.

[0077] Further, the dietary taboo of the target patient is determined according to the dietary requirements of other disease types of the target patient.

[0078] Specifically, as shown in Figure 4 the method for determining the strategy optimization patient in the target patient is:

[0079] determining the matching meal satisfying the dietary taboo according to the matching condition of the dietary taboo of the target patient and the matching meal in different intervals of different variable body indexes, and taking the matching meal as the patient matching meal;

[0080] determining the average value of the variable number of the patient matching meal according to the average value of the variable amount of the number of the patient matching meal in different intervals of different variable body indexes;

[0081] acquiring the current body examination index of the target patient and the number of the matching meal satisfying the dietary taboo, and determining whether the target patient is the strategy optimization patient according to the average value of the variable number and the current body examination index of the target patient and the number of the matching meal satisfying the dietary taboo.

[0082] Further, when the current body examination index of the target patient and the number of the matching meal satisfying the dietary taboo are less than the preset number threshold of the matching meal or the average value of the variable number is greater than the preset threshold of the variable number, it is determined that the target patient is the strategy optimization patient.

[0083] Specifically, when the patient does not belong to the strategy optimization patient, the dynamic adjustment processing of the meal arrangement strategy of the patient of the disease type does not need to be performed.

[0084] It should be noted that the method for determining the optimization adjustment mode of the meal arrangement strategy of the strategy optimization patient in the treatment stage is:

[0085] acquiring the current number of the matching meal of the strategy optimization patient;

[0086] determining the time interval between the different planned examination times and the next planned examination time according to the examination plan of the strategy optimization patient in the current treatment stage;

[0087] determining the optimization adjustment mode of the meal arrangement strategy of the strategy optimization patient in the different planned examination times in the treatment stage based on the time interval and the current number of the matching meal of the strategy optimization patient.

[0088] Further technical solutions are based on the time interval and the current number of the matching meal of the strategy optimization patient to determine the optimization adjustment mode of the meal arrangement strategy of the strategy optimization patient in the different planned examination times in the treatment stage, specifically including:

[0089] when the current number of the matching meal of the strategy optimization patient is greater than the preset value of the number of the matching meal, the optimization adjustment of the meal arrangement strategy does not need to be performed in the different planned examination times;

[0090] When the number of currently matched meals for the patient optimized by the strategy is greater than the preset number of matched meals, or when the number of currently matched meals for the patient optimized by the strategy is within the preset number range, the meal matching strategy is optimized and adjusted for all planned examinations with changes in physical examination indicators;

[0091] When the number of currently matched meals for the patient optimized by the strategy is within a preset quantity range, the optimization adjustment method of the meal matching strategy for the planned examination times is determined by utilizing the time interval to the next planned examination times and the changes in the physical examination indicators.

[0092] A further technical solution is to use the time interval to the next planned examination and the changes in physical examination indicators to determine the optimal adjustment method of the meal distribution strategy for the planned examination times, specifically including:

[0093] When the time interval to the next planned checkup is greater than the preset interval time threshold, the meal distribution strategy is optimized and adjusted when the physical examination index of the planned checkup changes;

[0094] When the time interval to the next planned examination is not greater than the preset interval time threshold, and when the change number of the physical examination indicator is greater than the preset change number threshold, the meal distribution strategy is optimized and adjusted.

[0095] Furthermore, we will optimize and adjust the meal distribution strategy, including:

[0096] Based on the physical examination indicators of the planned number of examinations, determine the nutritional indicator requirements corresponding to different physical examination indicators;

[0097] The meal distribution strategy is optimized and adjusted based on the meals that meet the dietary taboos of the patients optimized by the strategy and satisfy the nutritional index requirements.

[0098] Example 2

[0099] Second, as Figure 5 As shown, the present invention provides a computer system, comprising: a memory and a processor that are communicatively connected, and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the above-mentioned meal distribution strategy optimization processing method when running the computer program.

[0100] In another possible embodiment, the method for determining the strategy-optimized patients among the target patients is:

[0101] S31 obtains the current physical examination index of the target patient and the number of matching meals that meet the dietary taboos, and uses them as the current number of matching meals;

[0102] Optionally, in the above step, if the number of the current matching meal is less than the preset matching meal number threshold, i.e., the number of matching meals is small, it is determined that the target patient is a strategy optimization patient, and if the number of the current matching meal is greater than the preset meal number threshold, i.e., the number of matching meals is large, it is determined that the target patient does not belong to the strategy optimization patient.

[0103] S32 determines the matching meal of the target patient according to the matching condition of the different variable body indexes in different intervals with the matching meal of the diet taboo of the target patient, and takes the matching meal of the diet taboo as the patient matching meal;

[0104] In the above step, if the variation amount of the number of the patient matching meal of the different variable body indexes in different intervals is less than the preset matching meal variation number threshold, it is determined that the variation of the variable body index will not cause a significant increase in the number of matching meals, and thus it is determined that the target patient does not belong to the strategy optimization patient.

[0105] Only when there is a variable body index whose variation amount of the number of the patient matching meal in different intervals is not less than the preset matching meal variation number threshold, it is determined that there is a variable body index that has a greater impact on the variation of the number of the patient matching meal, and then the next step of determining the strategy optimization requirement is entered.

[0106] S33 determines whether the target patient belongs to the strategy optimization patient according to the variation amount of the number of the patient matching meal of the variable body indexes in different intervals and in combination with the current number of the matching meal of the target patient.

[0107] It can be understood that, based on the current number of the matching meal of the target patient, the variation amount of the number of the patient matching meal of the different variable body indexes in different intervals is determined, and the number of the patient matching meal in different intervals after the variation of the different variable body indexes is determined. When the number of the variable body index with a large number of patient matching meals meets the requirement, it is determined that it belongs to the strategy optimization patient. Specifically, the interval with a number of patient matching meals greater than a certain number threshold is taken as the variation matching interval of the variable body index, and when the number of the variable body index in the variation matching interval is greater than the preset index number threshold, it is determined that it belongs to the strategy optimization patient.

[0108] Embodiment 3

[0109] In another possible embodiment, the method for determining the target disease type in the disease type is:

[0110] S21 determines the increased number of matching meals of the patient in different treatment stages from the variation of the number of matching meals of the patient in different treatment stages, and determines the patient whose increased number is within a preset increased number interval as a variation deviation patient, i.e., a patient with a small increased number, based on the increased number of matching meals of the patient in different treatment stages from the previous treatment stage.

[0111] The above steps mainly include the following cases:

[0112] The increased number of matching meals of the patient in different treatment stages from the previous treatment stage is determined based on the variation of the number of matching meals of the patient in different treatment stages, and the patient whose increased number is within a preset increased number interval, i.e., a patient with a small increased number, is determined as a variation deviation patient.

[0113] Case 1: When the number of patients of the variation deviation patient in the disease type meets the requirement, i.e., is greater than a certain threshold, it is determined that most of the meals have not changed, and it is determined that the disease type does not belong to the target disease type.

[0114] Case 2: When the number of patients of the variation deviation patient in the disease type does not meet the requirement, the patient whose increased number is not within the increased number interval is determined as a variation patient, and when the number of patients of the variation patient in the disease type meets the requirement, i.e., the number of variation patients is large, the threshold is specifically determined, and it is determined that the disease type belongs to the target disease type.

[0115] Case 3: The increased number of matching meals of different patients in different treatment stages is determined based on the increased number of matching meals of the patient in different treatment stages from the previous treatment stage, and when the average value of the increased number of matching meals of different patients is greater than a matching meal increased number threshold, it is determined that the variation is large, and it is determined that the disease type belongs to the target disease type. However, only when the average value of the increased number of matching meals of different patients is greater than the matching meal increased number threshold, if the average value of the meal variation value of different patients is within a preset meal variation value interval, it is determined that there is a certain variation, and the next step is entered. When the average value of the meal variation value of different patients is not within the preset meal variation value interval, it is determined that there is basically no change, and it is determined that the disease type does not belong to the target disease type.

[0116] S22 determines the increased number of matching meals of the patient in different treatment stages from the variation of the number of matching meals of the patient in different treatment stages, and determines the increased number of matching meals of the patient in different treatment stages from the previous treatment stage, and determines the patient whose increased number is within a preset increased number interval as a variation deviation patient, i.e., a patient with a small increased number, based on the increased number of matching meals of the patient in different treatment stages from the previous treatment stage.

[0117] In another possible embodiment, in the above step, the treatment stage with an increase number greater than a preset increase number threshold is taken as a meal increase stage, and the number of patients with the meal increase stage is obtained. When the number of patients with the meal increase stage meets the requirement, that is, greater than a certain threshold, at this time, the number of patients with meal increase is relatively large, and therefore it is determined that the disease type belongs to the target disease type.

[0118] If the number of patients with the meal increase stage does not meet the requirement, at this time, the number of patients with meal increase is relatively small, and when the number of patients with the meal increase stage in the treatment stage accounts for more than a preset increase patient number ratio threshold in the number of patients with the disease type, it is determined that there is a meal increase period in which most patients have meal increase, and therefore it is determined that the disease type is the target disease type.

[0119] In addition, if there is no treatment stage in which the number of patients with the meal increase stage accounts for more than a preset increase patient number ratio threshold in the number of patients with the disease type, when the average of the meal change ratios of different treatment stages is greater than a certain threshold, which can be set to 0.5 in a possible embodiment, it is determined that the disease type is the target disease type, and otherwise, the process goes to step S23.

[0120] S23: Determine whether the disease type is the target disease type according to the increase number of different patients and the meal change ratio of different treatment stages.

[0121] In a possible embodiment, the meal number change value of the disease type is determined by a mathematical model based on the average of the increase number of different patients and the average of the meal change ratio of different treatment stages. When the product number change value is greater than a preset threshold, it is determined that the disease type is the target disease type.

[0122] It should be noted that in a possible embodiment, the mathematical model can be built by the product of the two, an analytic hierarchy process mathematical model, and a neural network model.

[0123] Each of the embodiments in the specification is described in a progressive manner, and the same or similar parts of each embodiment can be referred to each other. Each embodiment mainly describes the difference from other embodiments. In particular, for the device, equipment, and non-volatile computer storage medium embodiments, because they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the part of the method embodiment.

[0124] The above-described embodiments of the application have special structure and can achieve the desired results. Other embodiments can have different structures and achieve the same results. The purpose of the above-described embodiments is to illustrate the principles of the application and not to limit the scope of the application. The scope of the application is defined by the claims and their equivalents. Other embodiments are within the scope of the claims.

[0125] The above description is merely illustrative of the embodiments of the present application and is not intended to limit the scope of the present application. Various modifications can be made by those skilled in the art based upon the teachings disclosed herein. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the embodiments of the present application shall fall within the scope of the claims of the present application.

Claims

1. A method for optimizing meal distribution strategy, characterized in that: Specifically include: Determining changes in matching examination indicators of patients with different disease types, and determining a changed physical indicator of the disease type based on the changes; Based on the nutritional indicators of the meals, matching meals for different changing body indicators within different intervals are determined, and the target disease type among the disease types is determined based on the changes in the quantity of matching meals for different patients at different treatment stages; Patients with the target disease type are taken as target patients, and based on the matching of the target patients' dietary taboos with the matching meals of different changing physical indicators in different intervals, and the matching meals of the target patients' physical examination indicators, the strategy optimization patients among the target patients are determined; Determining the examination plan for the strategy-optimized patient in the current treatment stage, and determining an optimal adjustment method for the strategy-optimized patient's meal matching strategy in the treatment stage in combination with the current matching meals; The method for determining the optimal adjustment mode of the patient's meal distribution strategy during the treatment phase is as follows: Obtaining the current number of matching meals for the patient optimized by the strategy; Optimizing the patient's examination plan in the current treatment stage using the strategy, and determining the time interval between different planned examination times and the next planned examination time; Based on the time interval and the current number of matching meals for the strategy-optimized patient, an optimal adjustment method for the meal matching strategy for the strategy-optimized patient with different planned examination times during the treatment phase is determined.

2. The meal distribution strategy optimization processing method according to claim 1, characterized in that: The matching examination index is an examination index associated with the diagnosis result of the disease type.

3. The meal distribution strategy optimization processing method according to claim 1, characterized in that: The method for determining the change in physical indicators of the disease type is: Based on the changes in the matching examination indicators of patients with the disease type, determining the changes in the matching examination indicators of the patient at different adjacent historical examination times; According to the change of the matching examination index at different adjacent historical examination times, determining the historical examination times of the patient whose change amount is greater than the preset change amount, and using it as the changed examination times; Based on the proportion of the number of changed examinations of different patients, it is determined whether the matching examination indicator is a changed body indicator.

4. The meal distribution strategy optimization method according to claim 3, characterized in that: When the average value of the proportions of the number of changed examinations of different patients is greater than a preset threshold value of the proportion of the number of changed examinations, the matching examination indicator is determined to be a changed body indicator.

5. The meal distribution strategy optimization processing method according to claim 1, characterized in that: The matching meals for the changing body indicators in different intervals are determined based on the nutritional index requirements of the changing body indicators for the meals in the interval and the matching of the nutritional index of the matching meals. Specifically, the meals whose nutritional indexes meet the nutritional index requirements are used as the matching meals for the changing body indicators in the interval.

6. The meal distribution strategy optimization method according to claim 1, wherein: The treatment stages are divided according to the length of hospitalization of the patient, and specifically, the length of hospitalization of the patient is divided into different treatment stages using a preset length threshold.

7. The meal distribution strategy optimization method according to claim 1, wherein: When the patient does not belong to the strategy optimization patient, there is no need to dynamically adjust the meal distribution strategy for the patient with the disease type.

8. The meal distribution strategy optimization method according to claim 1, wherein: Based on the time interval and the current number of matching meals for the strategy-optimized patient, determining an optimization adjustment method for the meal matching strategy for the strategy-optimized patient with different planned examination times during the treatment phase, specifically comprising: When the number of currently matched meals for the patient optimized by the strategy is greater than the preset number of matched meals, there is no need to optimize and adjust the meal matching strategy at different planned examination times; When the number of currently matched meals for the patient optimized by the strategy is greater than the preset number of matched meals, or when the number of currently matched meals for the patient optimized by the strategy is within the preset number range, the meal matching strategy is optimized and adjusted for all planned examinations with changes in physical examination indicators; When the number of currently matched meals for the patient optimized by the strategy is within a preset quantity range, the optimization adjustment method of the meal matching strategy for the planned examination times is determined by utilizing the time interval to the next planned examination times and the changes in the physical examination indicators.

9. A computer system comprising: A memory and a processor in communication connection, and a computer program stored in the memory and capable of running on the processor, characterized in that when the processor runs the computer program, it executes a meal distribution strategy optimization processing method according to any one of claims 1 to 8.

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