Catering strategy optimization processing method and system

Abstract

The invention provides a catering strategy optimization processing method and system, and belongs to the technical field of strategy optimization, and the method specifically comprises the steps: taking a patient of a target disease type as a target patient, and carrying out the matching of the diet taboo of the target patient and the matching condition of matched meals of different change body indexes in different intervals, the method comprises the following steps: determining a strategy optimization patient in a target patient on the basis of a matched meal product of a physical examination index of the target patient, determining an examination plan of the strategy optimization patient in a current treatment stage, and determining an optimization adjustment mode of a catering strategy of the strategy optimization patient in the treatment stage in combination with the current matched meal product, and the catering processing accuracy is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of strategy optimization, and in particular relates to a meal distribution strategy optimization processing method and system. Background Art

[0002] To achieve personalized meal planning for patients, the invention patent application CN111143420A, "Meal Planning Method, Apparatus, Electronic Device, and Computer Storage Medium," extracts identity information and allergen information corresponding to the user from a database. This allergen information is used to avoid ingredients that are considered dangerous to the user, and ultimately outputs a meal planning strategy specific to the user. However, this approach presents the following technical issues: As the treatment process changes, the user's physical indicators will also change. Therefore, a fixed meal matching strategy may not match the changes in the user's physical indicators. This makes it urgent to solve the technical problem of how to dynamically adjust the meal matching strategy according to the changes in the user's treatment process to avoid the poor user experience caused by a small number of matching meals.

[0003] In order to solve the above technical problems, the present application provides a method and system for optimizing meal distribution strategies. Summary of the Invention

[0004] To achieve the purpose of the present invention, the present invention adopts the following technical solutions: Specifically, this application provides a method for optimizing meal distribution strategies, which specifically includes: S1 determines changes in matching examination indicators of patients with different disease types, and determines a changed physical indicator of the disease type based on the changes; S2 determines matching meals for different changing body indices within different intervals based on the nutritional indicators of the meals, and determines target disease types among the disease types based on changes in the quantity of matching meals for different patients at different treatment stages; S3: The patient with the target disease type is taken as the target patient, and based on the matching of the target patient's dietary taboos with the matching meals of different changing physical indicators in different intervals, and the matching meals of the target patient's physical examination indicators, the strategy optimization patient is determined among the target patients; S4 determines the examination plan of the strategy-optimized patient in the current treatment stage, and determines the optimal adjustment method of the meal matching strategy of the strategy-optimized patient in the treatment stage in combination with the current matching meals.

[0005] The beneficial effects of this application are: Based on the matching of target patients' dietary taboos with different changing physical indicators in different intervals and matching meals of target patients' physical examination indicators, the strategy optimization patients among the target patients are determined. This not only takes into account the difference in the updated number of matching meals caused by the update of the meal strategy when the physical indicators change due to differences in dietary taboos, but also takes into account the difference in the need to update the meal strategy due to the difference in the number of matching meals, thereby achieving differentiated implementation of the updating and adjustment methods of the meal strategy for different target patients.

[0006] By optimizing the patient's examination plan in the current treatment stage and the current matching meal determination strategy for the patient's meal matching strategy in the treatment stage, a differentiated optimization adjustment method is determined from the perspectives of the examination frequency and the number of matching meals for the strategy-optimized patient. This ensures the timeliness of the update processing for the strategy-optimized patient with a smaller number of matching meals and a lower examination frequency, while also avoiding the technical problem of greater complexity in the update processing caused by frequent update processing for the strategy-optimized patient with a larger number of matching meals and a higher examination frequency.

[0007] A further technical solution is that the matching examination indicator is an examination indicator associated with the diagnosis result of the disease type.

[0008] A further technical solution is 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.

[0009] A further technical solution is that when the average value of the proportion 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.

[0010] A further technical solution is that, when there are no changing physical indicators of the disease type, it is determined that there is no need to dynamically adjust the meal planning strategy for patients with the disease type.

[0011] A further technical solution is that when the patient does not belong to the strategy optimization patient, there is no need to dynamically adjust the meal distribution strategy for patients with the disease type.

[0012] A further technical solution is that the method for determining the optimal adjustment mode of the meal distribution strategy of the patient in the treatment stage 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.

[0013] A further technical solution is to optimize and adjust the meal distribution strategy, including: Based on the physical examination indicators of the planned number of examinations, determine the nutritional indicator requirements corresponding to different physical examination indicators; 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.

[0014] In a second aspect, the present invention provides 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, wherein the processor executes the above-mentioned method for optimizing meal distribution strategy when running the computer program.

[0015] Other features and advantages will be described in the following description. The objectives and other advantages of the present invention are realized and obtained by the structures particularly pointed out in the description and drawings.

[0016] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The above and other features and advantages of the present invention will become more apparent by describing in detail example embodiments thereof with reference to the accompanying drawings.

[0018] Figure 1 It is a flow chart of a method for optimizing meal distribution strategy; Figure 2 A flowchart of a method for determining a change in a physical indicator of a disease type; Figure 3 is a flow chart of a method for determining a target disease type among disease types; Figure 4 is a flow chart of a method for strategically optimizing patient identification among target patients; Figure 5It is a framework diagram of a computer system. DETAILED DESCRIPTION

[0019] To help those skilled in the art better understand the technical solutions in this specification, the following will provide a clear and complete description of the technical solutions in the embodiments of this specification, in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of this specification, not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of this specification without creative work should fall within the scope of protection of this specification.

[0020] In this application, differentiated meal strategy adjustment methods are generated based on the patient's examination frequency and the number of matching meals, thereby achieving dynamic updates of the patient's meal strategy, which not only ensures that the nutrition of the meals can meet the patient's needs, but also ensures the timeliness of the update of the patient's meal strategy.

[0021] Example 1 like Figure 1 As shown, the present application provides a method for optimizing meal distribution strategy, which specifically includes: S1 determines changes in matching examination indicators of patients with different disease types, and determines a changed physical indicator of the disease type based on the changes; The change body index is a matching examination index in which the proportion of patients with changes in the disease type is greater than 0.6.

[0022] S2 determines matching meals for different changing body indices within different intervals based on the nutritional indicators of the meals, and determines target disease types among the disease types based on changes in the quantity of matching meals for different patients at different treatment stages; Based on the changes in the number of matching meals for patients in different treatment stages, the treatment stage in which the number of matching products in the previous treatment stage increases is determined, and it is used as the meal increase treatment stage. When the average value of the proportion of the number of meal increase quality stages for different patients is greater than 0.5 of the change body index, the disease type corresponding to the patient is determined to be the target disease type.

[0023] S3: The patient with the target disease type is taken as the target patient, and based on the matching of the target patient's dietary taboos with the matching meals of different changing physical indicators in different intervals, and the matching meals of the target patient's physical examination indicators, the strategy optimization patient is determined among the target patients; Based on the matching of the target patient's dietary taboos with the matching meals for different changing body indicators in different intervals, matching meals that meet the dietary taboos for different changing body indicators are determined and used as the patient's matching meals. Based on the average of the changes in the number of patient-matched meals for different changing body indicators in different intervals, the mean change in the number of patient-matched meals is determined; When the number of matching meals that meet the target patient's current physical examination indicators and dietary taboos is less than the preset matching meal quantity threshold or the mean of the change quantity is greater than the preset change quantity threshold, the target patient is determined to be a strategy optimization patient.

[0024] S4 determines the examination plan of the strategy-optimized patient in the current treatment stage, and determines the optimal adjustment method of the meal matching strategy of the strategy-optimized patient in the treatment stage in combination with the current matching meals.

[0025] When the current number of matching meals is greater than the meal quantity threshold, there is no need to optimize and adjust the meal matching strategy during the treatment phase; When the current number of matched meals is not greater than the meal quantity threshold, when the inspection frequency is greater than the preset inspection frequency, and the number of changed physical examination indicators is greater than 3, the meal matching strategy needs to be optimized and adjusted. When the inspection frequency is not greater than the preset inspection frequency, as long as there are changed physical examination indicators, the meal matching strategy needs to be optimized and adjusted.

[0026] Furthermore, the matching examination index is an examination index associated with the diagnosis result of the disease type.

[0027] Specifically, such as Figure 2 As shown, 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.

[0028] Furthermore, when the average value of the proportion 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.

[0029] It is understandable that when there are no changing physical indicators of the disease type, it is determined that there is no need to dynamically adjust the meal planning strategy for patients with the disease type.

[0030] In another possible embodiment, 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; Determining the amount of change in the matching check indicator at different adjacent historical check times according to changes in the matching check indicator at different adjacent historical check times; Based on the average value of the variation of the matching examination indicators of different patients at different adjacent historical examination times, a variation mean is determined, and whether the matching examination indicator is a variation body indicator is determined according to the variation mean.

[0031] Furthermore, when the mean value of the variation is greater than a preset variation threshold, the matching inspection indicator is determined to be a variation body indicator.

[0032] Specifically, the matching meals for the changing body indicators in different intervals are determined based on the matching of the nutritional index requirements of the changing body indicators for the meals in the interval and 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.

[0033] It should be noted that the treatment stages are divided according to the patient's hospitalization time, and specifically, the patient's hospitalization time is divided into different treatment stages using a preset time threshold.

[0034] Specifically, such as Figure 3 As shown, the method for determining the target disease type among the disease types is: Determining the increase in the number of matched meals for the patient in different treatment stages compared to the previous treatment stage based on the changes in the number of matched meals for the patient in different treatment stages; The treatment phase in which the increase in quantity is greater than the preset increase in quantity threshold is regarded as the meal increase phase; Whether the disease type is the target disease type is determined based on the number of patients belonging to the meal addition stage in different treatment stages.

[0035] Furthermore, when there is a treatment stage in which the number of patients belonging to the meal increase stage accounts for a greater proportion of the number of patients of the disease type than a preset threshold value of the proportion of the number of increased patients, the disease type is determined to be the target disease type.

[0036] It is understandable that when the disease type does not belong to the target disease type, it is determined that there is no need to dynamically adjust the meal planning strategy for patients with the disease type.

[0037] In another possible embodiment, the method for determining the target disease type among the disease types is: Determining the increase in the number of matched meals for the patient in different treatment stages compared to the previous treatment stage based on the changes in the number of matched meals for the patient in different treatment stages; The treatment phase in which the increase in quantity is greater than the preset increase in quantity threshold is regarded as the meal increase phase; Whether the disease type is the target disease type is determined based on the average proportion of the number of patients in the meal addition stage in the disease type in different treatment stages.

[0038] Furthermore, when the average proportion of the number of patients who belong to the meal addition stage in different treatment stages in the disease type is less than the preset proportion threshold, it is determined that the disease type does not belong to the target disease type.

[0039] Furthermore, the dietary taboos of the target patient are determined according to the dietary requirements of other disease types of the target patient.

[0040] Specifically, such as Figure 4 As shown, the method for determining the strategy-optimized patients among the target patients is: Based on the matching of the target patient's dietary taboos with the matching meals for different changing body indicators in different intervals, matching meals for different changing body indicators that meet the dietary taboos are determined and used as matching meals for the patient; Determine a mean value of the change in the number of patient-matched meals according to the average value of the change in the number of patient-matched meals within different intervals of different changing physical indicators; The current physical examination indicators of the target patient and the number of matching meals that meet dietary taboos are obtained, and combined with the mean of the changing quantities, it is determined whether the target patient is a strategy optimization patient.

[0041] Furthermore, when the current physical examination indicators of the target patient and the number of matching meals that meet dietary taboos are less than a preset matching meal quantity threshold or the mean of the change quantity is greater than a preset change quantity threshold, the target patient is determined to be a strategy optimization patient.

[0042] Specifically, when the patient does not belong to the strategy optimization patient, there is no need to dynamically adjust the meal distribution strategy for patients with the disease type.

[0043] It should be noted that the method for determining the optimal adjustment mode of the meal distribution strategy for the patient in the treatment stage 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.

[0044] A further technical solution is to determine an optimization adjustment method for the meal matching strategy of the strategy-optimized patient for different planned examination times during the treatment phase based on the time interval and the current number of matching meals for the strategy-optimized patient, specifically including: 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.

[0045] 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: 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; 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.

[0046] Furthermore, we will optimize and adjust the meal distribution strategy, including: Based on the physical examination indicators of the planned number of examinations, determine the nutritional indicator requirements corresponding to different physical examination indicators; 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.

[0047] Example 2 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.

[0048] In another possible embodiment, the method for determining the strategy-optimized patients among the target patients is: 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; Optionally, in the above steps, if the current number of matching meals is less than the preset matching meal number threshold, that is, the number of matching meals is small, then the target patient is determined to be a strategy optimization patient, and if the current number of matching meals is greater than the preset meal number threshold, that is, the number of matching meals is large, then the target patient is determined not to be a strategy optimization patient.

[0049] S32 determines matching meals for different changing body indicators that meet the target patient's dietary taboos based on the matching conditions between the target patient's dietary taboos and the matching meals for different changing body indicators within different intervals, and uses the matching meals as the matching meals for the patient; In the above steps, based on the changes in the number of matched meals for patients in different intervals for different changing physical indicators, if it is determined that the changes in the number of matched meals for patients in different intervals for different changing physical indicators are all less than the preset threshold value for the change in the number of matched meals, it means that the change in the changing physical indicator will not lead to a significant increase in the number of matched meals, and therefore it is determined that the target patient does not belong to the strategy optimization patient; Only when the change in the number of patient-matched meals within different intervals is not less than the preset threshold value of the change in the number of matching meals, indicating that there is a change in the number of matching meals that has a greater impact on the user's response to the change in the number of patient-matched meals, can we proceed to the next step to determine the strategy optimization needs.

[0050] S33 determines whether the target patient is a strategy optimization patient based on the change in the number of matched meals for the patient in different intervals of the changing physical indicators and the current number of matched meals for the target patient.

[0051] It can be understood that based on the current number of matching meals for the target patient, the change in the number of patient-matched meals in different intervals for different changing body indicators is determined, and the number of patient-matched meals in different intervals after the different changing body indicators change is determined. When the number of changing body indicators with a larger number of patient-matched meals meets the requirements, it is determined that the patient is a strategy-optimized patient. Specifically, the interval in which the number of patient-matched meals is greater than a certain quantity threshold is used as the changing matching interval of the changing body indicator. When the number of changing body indicators in the changing matching interval is more than 3 and is greater than the preset indicator quantity threshold, it is determined that the patient is a strategy-optimized patient.

[0052] Example 3 In another possible embodiment, the method for determining the target disease type among the disease types is: S21: determining an increase in the number of matched meals for the patient in different treatment stages compared to the previous treatment stage based on changes in the number of matched meals for the patient in different treatment stages; The above steps mainly include the following situations: Based on the changes in the number of matched meals for the patient at different treatment stages, the increased number of matched meals for the patient at different treatment stages compared to the previous treatment stage is determined. Based on the increased number of matched meals for the patient at different treatment stages compared to the previous treatment stage, patients whose increased number falls within a preset increased number range, i.e., patients whose increased number is smaller, are identified as patients with change deviations. Case 1: When the proportion of patients with the change deviation in the disease type meets the requirement, that is, is greater than a certain threshold, it means that most of the meals have not changed, and it is determined that the disease type does not belong to the target disease type; Case 2: When the proportion of the patients with the change deviation in the disease type does not meet the requirement, the patients whose increased number is not within the increased number interval are regarded as changed patients. When the proportion of the patients with the changed disease type meets the requirement, that is, the number of changed patients is large, the disease type is determined to belong to the target disease type by specifically determining through a threshold; Case 3: The increase in the number of matching products between different treatment stages is determined based on the increase in the number of matching meals for the patient in different treatment stages and the previous treatment stage. When the average increase in the number of matching products for different patients is greater than the threshold increase in the number of matching products, it means that the change is large, and the disease type is determined to belong to the target disease type. Only when the average increase in the number of matching products for different patients is greater than the threshold increase in the number of matching products, if the average of the meal change values for different patients is within the preset meal change value range, it means that there is a certain change, and proceed to the next step. When the average of the meal change values for different patients is not within the preset meal change value range, it means that there is basically no change, and the disease type is determined not to belong to the target disease type.

[0053] S22: The treatment stage in which the increase in number is greater than a preset increase in number threshold is regarded as a meal increase stage, the proportion of the number of patients belonging to the meal increase stage in the disease type in different treatment stages is obtained, and the meal change proportion of different treatment stages is determined based on the proportion; In another possible embodiment, in the above steps, the treatment stage in which the increase number is greater than a preset increase number threshold is regarded as a meal addition stage, and the number of patients in the meal addition stage is obtained. When the number of patients in the meal addition stage meets the requirement, that is, is greater than a certain threshold, the number of patients in which the meal addition occurs is large, and therefore it is determined that the disease type belongs to the target disease type; If the number of patients in the meal increase stage does not meet the requirement, the number of patients experiencing meal increase is relatively small. If there is a treatment stage in which the number of patients in the meal increase stage accounts for a larger proportion of the number of patients with the disease type than the preset threshold for the proportion of patients with increased meal numbers, it means that there is a meal increase period in which most patients experience meal quantity changes, and the disease type is determined to be the target disease type. In addition, if there is no treatment stage in which the number of patients belonging to the meal increase stage accounts for a proportion of the number of patients of the disease type that is greater than a preset threshold value of the proportion of increased patients, when the average value of the proportion of meal changes in different treatment stages is greater than a certain threshold, in a possible embodiment it can be set to 0.5, then the disease type is determined to be the target disease type, and in other cases it is necessary to proceed to step S23.

[0054] S23 determines whether the disease type is the target disease type based on the number of different patients added and the proportion of meal changes in different treatment stages.

[0055] In a possible embodiment, based on the average value of the increase in the number of different patients and the average value of the change in the proportion of meals in different treatment stages, a mathematical model is used to determine the change value of the meal quantity for the disease type. When the product quantity change value is greater than a preset threshold, the disease type is determined to be the target disease type.

[0056] It should also be noted that, in a possible embodiment, the mathematical model can be constructed by multiplying the two, the mathematical model of the hierarchical analysis method, and the neural network model.

[0057] The various embodiments in this specification are described in a progressive manner. Similar portions between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from the other embodiments. In particular, the device, apparatus, and non-volatile computer storage medium embodiments are generally similar to the method embodiments, so their descriptions are relatively simplified. For relevant details, refer to the descriptions of the method embodiments.

[0058] The foregoing description of this specification describes specific embodiments. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims can be performed in an order different from that described in the embodiments and still achieve the desired results. Furthermore, the processes depicted in the accompanying drawings do not necessarily require the specific order shown or the sequential order to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0059] The foregoing description is merely one or more embodiments of this specification and is not intended to limit this specification. It will be apparent to those skilled in the art that various modifications and variations may be made to one or more embodiments of this specification. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of one or more embodiments of this specification are intended to be within the scope of the claims of this specification.

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; Determine the examination plan of the strategy-optimized patient in the current treatment stage, and determine the optimal adjustment method of the meal matching strategy of the strategy-optimized patient in the treatment stage in combination with the current matching meals.

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 processing 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: 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.

9. The meal distribution strategy optimization processing method according to claim 8, characterized in that: 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.

10. 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 as described in any one of claims 1-9.

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