Nutrition risk assessment system and method for information planning of tumor patients

By using metabolite detection and intelligent data analysis, the systematization problem of nutritional risk assessment for cancer patients has been solved, enabling accurate assessment and risk warning of the nutritional status of cancer patients and improving the effectiveness of nutritional intervention.

CN120748701BActive Publication Date: 2026-03-24FUDAN UNIV SHANGHAI CANCER CENT
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-05-13
Publication Date
2026-03-24

AI Technical Summary

Technical Problem

In the current technology, the nutritional risk assessment of cancer patients lacks a systematic metabolomics assessment method and a standardized analysis process, which makes it difficult to identify nutritional problems in the early stage, affecting patients' quality of life and treatment outcomes.

Method used

By integrating metabolite detection technology and intelligent data analysis methods, we can comprehensively analyze tumor growth changes, physical condition changes, and nutrient intake and metabolism in cancer patients, assess the effectiveness of nutritional interventions, and provide risk warnings.

Benefits of technology

It enables precise assessment of the nutritional status of cancer patients, early identification of nutritional risks, and improved timing and effectiveness of nutritional interventions.

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Abstract

The application provides a tumor patient nutrition risk assessment system and method for informatization planning, which evaluates the abnormal change of the patient's body in the nutrition intervention process through the tumor growth change and the physical growth change of the tumor patient, evaluates the abnormal metabolism of the patient in the nutrition intervention process through the content of the nutrients ingested and metabolized by the patient, analyzes the effect of the nutrition intervention process based on the abnormal change of the patient's body and the evaluation result of the abnormal metabolism of the patient, and judges whether nutrition risk early warning is needed according to the nutrition intervention effect, so that the tumor growth change, the physical change and the intake and metabolism of the nutrients of the patient can be comprehensively analyzed from multiple dimensions, and the effect of the nutrition intervention can be scientifically evaluated.
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Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of tumor patient nutrition assessment algorithm, in particular to a tumor patient nutrition risk assessment system and method for informatization planning. BACKGROUND

[0002] In the field of medical nutrition, the nutrition management of tumor patients is particularly important due to their special metabolic conditions and treatment needs. Traditional nutrition risk assessment methods mainly rely on clinical indicators such as body weight changes, muscle mass assessment, and dietary records. However, these methods often lack sensitivity and specificity, making it difficult to identify potential nutritional problems early, resulting in poor timing and effectiveness of nutritional intervention. With the rapid development of metabolomics technology, its application in disease diagnosis and treatment has gradually expanded, providing a new perspective and tool for precision medicine. Metabolomics, as a system biology technology, can reveal the metabolic state and potential biomarkers by analyzing the composition and changes of metabolites in the body. Unlike traditional single indicator analysis, metabolomics provides comprehensive metabolic information, bringing unprecedented possibilities for identifying metabolic characteristics of complex diseases. However, the application of metabolomics in the nutrition risk assessment of tumor patients is still in its early stages, lacking systematic evaluation methods and standardized analysis processes. Tumor patients often face malnutrition, muscle atrophy, and nutritional disorders during the remission period due to high metabolic demands during tumor proliferation and side effects of anticancer treatment. These nutrition-related complications not only affect the quality of life of patients, but also weaken their immune system and reduce treatment effectiveness.

[0003] Therefore, the present application aims to provide a nutrition risk assessment method for tumor patients for informatization planning, which realizes the precise assessment of the nutritional status of tumor patients by integrating advanced metabolite detection technology and intelligent data analysis methods. SUMMARY

[0004] The purpose of the present application is to provide a nutrition risk assessment method and system for tumor patients for informatization planning, which comprehensively analyzes the tumor growth changes, physical changes, and intake and metabolism of nutrients of patients from multiple dimensions, can scientifically evaluate the effectiveness of nutritional intervention, and give effective nutrition risk warning.

[0005] In order to achieve the above purpose, the present application provides a nutrition risk assessment system and method for tumor patients for informatization planning. It includes the following specific steps:

[0006] S1, obtaining the tumor growth changes and physical growth changes of the tumor patient, and simultaneously obtaining the content of nutrients ingested and metabolized by the patient;

[0007] S2, evaluate the patient's body abnormality during the nutrition intervention process by the tumor growth change and the physical growth change of the tumor patient;

[0008] S3, evaluate the patient's metabolism abnormality during the nutrition intervention process by the intake and metabolism of the patient's nutrient content;

[0009] S4, analyze the effect of the nutrition intervention process based on the patient's body abnormality and the patient's metabolism abnormality evaluation results;

[0010] S5, determine whether nutrition risk warning is needed according to the nutrition intervention effect.

[0011] Further, in step S1, the tumor growth change of the tumor patient includes the size volume change of the tumor, the intake nutrient content of the patient includes protein, heat, carbohydrate and vitamin, and the metabolism nutrient content includes the nutrient content in excretion and blood.

[0012] Further, in step S1, it also includes:

[0013] S101, obtain the tumor growth change of the tumor patient by weighted summation data standardization of the size volume change of the tumor and the average size of the tumor in the nutrition intervention period;

[0014] S102, compare the physical growth change in the nutrition intervention period of the patient with the normal physical condition, and obtain the physical change abnormal data that exceeds the average range of the normal physical condition;

[0015] S103, obtain the standardized tumor volume abnormality and the standardized physical change abnormality, and obtain the patient's body nutrition abnormality during the nutrition intervention process by comparing the standardized physical change abnormality with the standardized tumor volume abnormality.

[0016] Further, in step S2, obtain the intake nutrient content data of the patient, and perform intake nutrition abnormality evaluation based on the comparison between the intake nutrient content data of the patient and the standard content. The intake nutrition abnormality evaluation calculation formula is:

[0017]

[0018] Wherein, D is the type of intake nutrient, sa is the influence weight of the a-th type of intake nutrient in the nutrition intervention process, ca is the amount of the a-th type of intake nutrient in the nutrition intervention process, and cam is the average amount of the a-th type of intake nutrient required to be taken by the normal human body.

[0019] Further, in step S300, the content of the corresponding nutrient substance metabolized by the patient is obtained, and based on comparison of the content of the corresponding nutrient substance metabolized by the patient with the normal content of the corresponding nutrient substance metabolized by the intake nutrient substance, an abnormal metabolism evaluation is performed, wherein the abnormal metabolism evaluation calculation formula is:

[0020]

[0021] wherein B is the type of the metabolized nutrient substance, wb is the influence weight of the bth type of the metabolized nutrient substance, fb is the content data of the bth type of the metabolized nutrient substance of the patient, and fbm is the normal content data of the bth type of the metabolized nutrient substance corresponding to the intake nutrient substance of the patient.

[0022] Further, in step S4, the abnormal metabolism evaluation result of the nutrition intervention period is divided by the intake nutrition abnormal evaluation result, and after averaging, the nutrition intervention period patient metabolism abnormality is obtained, and after dividing by the patient metabolism abnormality of the corresponding nutrition intervention period before the period, the nutrition intervention process effect is obtained.

[0023] Further, in step S5, whether to perform nutrition risk warning is judged according to the nutrition intervention process effect, wherein if the obtained nutrition intervention process effect is greater than or equal to the set effect threshold value, it is indicated that the nutrition intervention is effective, and no nutrition risk warning is performed, and if the obtained nutrition intervention process effect is less than the set effect threshold value, it is indicated that the nutrition intervention is ineffective, and nutrition risk warning is performed.

[0024] On the other hand, the present application also provides a tumor patient nutrition risk assessment system for informatization planning, comprising:

[0025] A data acquisition module is used to obtain the tumor growth change and the physical growth change of the tumor patient, and the content of the intake and metabolized nutrient substance of the patient is obtained;

[0026] A physical abnormal change analysis module is used to evaluate the physical abnormal change of the patient in the nutrition intervention process through the tumor growth change and the physical growth change of the tumor patient;

[0027] A metabolism abnormality analysis module is used to evaluate the metabolism abnormality of the patient in the nutrition intervention process through the content of the intake and metabolized nutrient substance of the patient;

[0028] A nutrition intervention effect evaluation module is used to analyze the nutrition intervention process effect based on the physical abnormal change of the patient and the metabolism abnormality evaluation result of the patient;

[0029] A nutrition risk warning module is used to judge whether nutrition risk warning is needed according to the nutrition intervention effect.

[0030] On the other hand, the present invention also provides an apparatus characterized in that it includes a memory and a processor, wherein the memory stores at least one instruction, which is loaded and executed by the processor to perform the operations performed by the above-described method for nutritional risk assessment of cancer patients for information-based planning.

[0031] On the other hand, the present invention also provides a computer-readable storage medium, characterized in that the storage medium stores at least one instruction, which is loaded and executed by a processor to perform the operations performed by the above-described method for nutritional risk assessment of cancer patients for information-based planning.

[0032] This invention assesses abnormal changes in a patient's body during nutritional intervention by analyzing changes in tumor growth and physical condition. It also assesses metabolic abnormalities by analyzing the levels of nutrients ingested and metabolized by the patient. Based on these abnormal changes and the assessment results of metabolic abnormalities, the invention analyzes the effectiveness of the nutritional intervention and determines whether nutritional risk warnings are necessary. By comprehensively analyzing changes in tumor growth, physical condition, and nutrient intake and metabolism from multiple dimensions, this invention can scientifically evaluate the effectiveness of nutritional intervention. Attached Figure Description

[0033] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0034] Figure 1 This is a schematic diagram of the overall process of the nutritional risk assessment method for cancer patients used in information-based planning according to the present invention.

[0035] Figure 2 This is a flowchart illustrating step S2 of an embodiment of the present invention.

[0036] Figure 3 This is a flowchart illustrating step S3 of an embodiment of the present invention.

[0037] Figure 4 This is a schematic diagram of the framework of the nutritional risk assessment system for cancer patients used in information-based planning according to the present invention. Detailed Implementation

[0038] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0039] In the following description, references are made to “some embodiments,” which describe a subset of all possible embodiments. However, it is understood that “some embodiments” may be the same subset or different subsets of all possible embodiments and may be combined with each other without conflict.

[0040] If the application documents contain similar descriptions such as "first / second", the following explanation shall be added: In the following description, the terms "first / second / third" are used only to distinguish similar objects and do not represent a specific order of objects. It is understood that "first / second / third" may be interchanged in a specific order or sequence where permitted, so that the embodiments of this application described herein can be implemented in an order other than that illustrated or described herein.

[0041] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing embodiments of this application only and is not intended to limit this application.

[0042] Example 1

[0043] To address the lack of systematic assessment methods and standardized analytical procedures for the application of metabolomics in nutritional risk assessment of cancer patients, the following issues remain. Figure 1 - Figure 3 As shown, the method for nutritional risk assessment of cancer patients for information-based planning provided by embodiments of the present invention includes the following specific steps:

[0044] S1. Obtain information on tumor growth and physical changes in cancer patients, as well as the content of nutrients ingested and metabolized by the patients.

[0045] In this embodiment, the changes in tumor growth of cancer patients include changes in tumor size and volume; changes in physical condition include data reflecting the patient's physical condition such as weight, muscle mass, and physical fitness; and the content of nutrients ingested by the patient includes energy information contained in the nutrient intake information, including protein, calories, carbohydrates, and vitamins.

[0046] The content of metabolized nutrients includes information on the nutrient content in excrement and blood, including carbohydrate metabolism: glucose, lactic acid, pyruvate, etc.; lipid metabolism: free fatty acids, triglycerides, etc.; protein metabolism: branched-chain amino acids (BCAAs), glutamine, etc.; energy metabolism: metabolites such as ATP, NAD+, NADH, etc.; the levels of essential amino acids (such as leucine and isoleucine) and non-essential amino acids (such as glutamine) in the blood; and glutamine and carbohydrate metabolites in urine.

[0047] It should be noted that the various data collected in this embodiment are all collected using existing technology acquisition terminals, such as various component acquisition instruments, which will not be described in detail here.

[0048] S2. Assess abnormal changes in the patient's physical condition during nutritional intervention by observing changes in tumor growth and physical condition.

[0049] In this embodiment, assessing abnormal changes in a patient's physical condition during nutritional intervention based on changes in tumor growth and physical constitution includes the following specific steps:

[0050] S21. Obtain the changes in tumor size and volume during the nutritional intervention period, and perform abnormal tumor change analysis based on the changes in tumor size and volume during the nutritional intervention period.

[0051] The analysis of abnormal tumor changes includes the following specific steps:

[0052] The changes in tumor size and volume during the nutritional intervention period are obtained. Since larger tumors consume more nutrients, and tumor growth also leads to increased nutrient consumption, this embodiment obtains the changes in tumor size and volume and the average tumor size during the nutritional intervention period. Weighted summation and data standardization are then performed to obtain the tumor volume anomaly during the nutritional intervention period. The formula for calculating the tumor volume anomaly can be:

[0053]

[0054] in, The weighting is based on the proportion of volume change. Vm represents the change in tumor size and volume during the nutritional intervention period, Vmx represents the safe amount of change in tumor size and volume during the nutritional intervention period, Vc represents the average size of the tumor, and Vcx represents the safe amount of the average size of the tumor.

[0055] S22. Obtain the patient's physical growth changes during the nutritional intervention period, and compare these changes with normal physical condition to identify abnormalities in physical condition during the nutritional intervention period. The formula for calculating abnormal physical changes is as follows:

[0056]

[0057] Where n represents the type of physical characteristic, cj represents the degree of influence of the j-th physical characteristic on the overall physical condition, zjc represents the real-time data of the j-th physical characteristic during the intervention period, zjk represents the data of the j-th physical characteristic at the beginning of the intervention period, and zjm represents the median of the safe range of the j-th physical characteristic. The safe range of physical characteristics is the average range of the corresponding physical characteristics of normal individuals, which is detailed in existing health books.

[0058] S23. Obtain standardized abnormal tumor volume and standardized abnormal body constitution. Compare the standardized abnormal body constitution with the standardized abnormal tumor volume to determine the patient's nutritional abnormalities during nutritional intervention. The formula for calculating the patient's nutritional abnormalities is as follows:

[0059] Among them, Tzm is the standard value of abnormal changes in physical condition, and pvm is the standard value of abnormal volume. In the above steps, the abnormal changes in physical condition caused by the standardized tumor volume abnormality during the nutritional intervention cycle are compared with the actual abnormal changes in physical condition to obtain the abnormal nutritional absorption of the patient's body.

[0060] S3. Assess patients' metabolic abnormalities during nutritional intervention by measuring the levels of nutrients ingested and metabolized by the patients.

[0061] It should be noted that the various set parameters in this embodiment (including various values ​​and thresholds that cannot be collected by the acquisition terminal) are obtained as follows: by evaluating the changes in tumor growth and physical condition of historical cancer patients, as well as the content of nutrients ingested and metabolized by patients, the effects of the nutritional intervention process corresponding to historical data are obtained in each step of this embodiment. At the same time, medical experts are hired to judge whether the effects of the nutritional intervention process based on these historical data are qualified. The evaluation results and judgment results are then imported into the fitting software, and the values ​​of each set parameter that meet the maximum accuracy of the judgment result are output.

[0062] In this embodiment, assessing the metabolic abnormalities of patients during nutritional intervention by measuring the levels of nutrients ingested and metabolized by the patients includes the following specific steps:

[0063] S31. Obtain data on the nutrient content ingested by the patient. Based on the comparison between the patient's nutrient content data and the standard content, conduct an assessment of abnormal nutrient intake. The formula for calculating the assessment of abnormal nutrient intake is as follows:

[0064]

[0065] Where D represents the type of nutrient ingested, sa represents the influence weight of the a-th type of nutrient ingested during the nutritional intervention process, ca represents the amount of the a-th type of nutrient ingested during the nutritional intervention process, and cam represents the average amount of the a-th type of nutrient that a normal human body needs to ingest.

[0066] S32. Obtain the content of corresponding nutrients metabolized by the patient. Based on the comparison between the data of corresponding nutrient content metabolized by the patient and the normal content data of nutrient content metabolized from corresponding ingested nutrients, conduct an assessment of metabolic impact abnormalities. The calculation formula for the assessment of metabolic impact abnormalities is the same as the calculation formula for the assessment of nutrient intake abnormalities, namely:

[0067]

[0068] Wherein, B represents the type of nutrient metabolized, wb represents the influence weight of the b-th type of nutrient metabolized, fb represents the content of the b-th type of nutrient metabolized by the patient, and fbm represents the normal content of the b-th type of nutrient metabolized by the corresponding nutrient ingested by the patient.

[0069] S33. The metabolic abnormality of patients in the corresponding nutritional intervention period is obtained by averaging the results of the metabolic impact abnormality assessment of the corresponding nutritional intervention period by dividing the results of the standardized nutritional intake abnormality assessment by the results of the corresponding nutritional intervention period. The metabolic effect of nutritional intervention is obtained by dividing the results of the metabolic abnormality of patients in the previous period by the results of the corresponding nutritional intervention period and taking the reciprocal.

[0070] It should be noted that since the composition of ingested nutrients has a direct impact on the judgment of metabolic abnormalities, and the influence of abnormal nutrient composition on the judgment of metabolic abnormalities needs to be removed here, the metabolic abnormality assessment result is divided by the standardized nutrient intake abnormality assessment result. The standardized nutrient intake abnormality assessment result is to prevent the nutrient intake abnormality assessment result from being 0. Therefore, the standardization process here can be to take the nutrient intake abnormality assessment result as a power of the natural constant e.

[0071] S4. Analyze the effectiveness of nutritional intervention based on the patient's abnormal physical changes and the results of the assessment of the patient's metabolic abnormalities.

[0072] In this embodiment, the analysis of the effectiveness of nutritional intervention based on the patient's abnormal physical changes and the results of the assessment of the patient's metabolic abnormalities includes the following specific contents:

[0073] Obtain the calculated nutritional intervention cycle's metabolic effect and the patient's nutritional abnormality analysis results. Take the reciprocal of the obtained patient nutritional abnormality analysis results and sum them with the nutritional intervention cycle's metabolic effect to obtain the nutritional intervention process effect.

[0074] S5. Determine whether nutritional risk warning is needed based on the effects of nutritional intervention;

[0075] In this embodiment, determining whether a nutritional risk warning is needed based on the effect of nutritional intervention includes the following specific aspects: if the effect of the obtained nutritional intervention process is greater than or equal to the set effect threshold, it indicates that the nutritional intervention is effective and no nutritional risk warning is issued; if the effect of the obtained nutritional intervention process is less than the set effect threshold, it indicates that the nutritional intervention is ineffective and a nutritional risk warning is issued.

[0076] Example 2

[0077] like Figure 4 As shown, the nutritional risk assessment system for cancer patients used in information-based planning is implemented based on the nutritional risk assessment method for cancer patients used in information-based planning described in Example 1 above, and includes:

[0078] Data acquisition module: used to acquire information on tumor growth and physical changes in cancer patients, as well as the content of nutrients ingested and metabolized by patients.

[0079] The module for analyzing abnormal changes in physical condition is used to assess abnormal changes in the physical condition of patients during nutritional intervention by analyzing changes in tumor growth and physical condition.

[0080] Metabolic Abnormality Analysis Module: This module is used to assess the metabolic abnormalities of patients during nutritional intervention by analyzing the levels of nutrients ingested and metabolized by the patients.

[0081] Nutritional intervention effect evaluation module: Analyzes the effect of nutritional intervention based on the patient's abnormal physical changes and the results of the patient's metabolic abnormality assessment.

[0082] Nutritional risk warning module: Determines whether a nutritional risk warning is needed based on the effectiveness of nutritional interventions. The specific steps of the above modules in this embodiment are described in detail in the above method embodiments, and will not be repeated in detail here.

[0083] Example 3

[0084] This embodiment provides an electronic device, including: a processor and a memory, wherein the memory stores a computer program that can be called by the processor;

[0085] The processor executes the aforementioned method for assessing the nutritional risks of cancer patients for information-based planning by calling computer programs stored in memory.

[0086] The electronic device can vary considerably depending on its configuration or performance, and may include one or more processors and one or more memories. The memory stores at least one computer program, which is loaded and executed by the processor to implement the nutritional risk assessment method for cancer patients used in information-based planning provided in the above-described method embodiments. The electronic device may also include other components for realizing its functions; for example, it may have wired or wireless network interfaces and input / output interfaces for data input and output. Further details are omitted here.

[0087] Example 4

[0088] This embodiment proposes a computer-readable storage medium on which an erasable and rewritable computer program is stored.

[0089] When the computer program runs on the computer device, it causes the computer device to perform the above-mentioned method for assessing the nutritional risks of cancer patients for information-based planning.

[0090] For example, computer-readable storage media can be read-only memory, random access memory, read-only optical disc, magnetic tape, floppy disk, and optical data storage devices.

[0091] The above embodiments can be implemented, in whole or in part, by software, hardware, firmware, or any other combination thereof. When implemented using software, the above embodiments can be implemented, in whole or in part, as a computer program product. A computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, all or part of the flow or function according to the embodiments of the present invention is generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. Computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via a wired network and / or wireless network. A computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that includes one or more sets of available media. Available media can be magnetic media (e.g., floppy disks, hard disks, magnetic tapes), optical media (e.g., DVDs), or semiconductor media. Semiconductor media can be solid-state drives.

[0092] Although embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and should not be construed as limiting the present invention. Those skilled in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for nutritional risk assessment of cancer patients used in information-based planning, comprising the following specific steps: S1, obtain information on tumor growth and physical condition changes in cancer patients, and also obtain information on the content of nutrients ingested and metabolized by patients. S2, by assessing the abnormal changes in the patient's body during the nutritional intervention process through changes in tumor growth and physical condition, obtain the results of the analysis of abnormal nutrition in the patient's body during the nutritional intervention process; S3 assesses metabolic abnormalities in patients during nutritional intervention by measuring the levels of nutrients ingested and metabolized by the patients. The specific steps include the following: S31. Obtain data on the nutrient content ingested by the patient, and based on the comparison between the patient's nutrient content data and the standard content, conduct an assessment of abnormal nutrient intake, including... The formula for calculating abnormal nutrient intake assessment is as follows: in, The value for abnormal nutrient intake is D, where D is the type of nutrient ingested, sa is the influence weight of the a-th nutrient ingested during the nutrient intervention process, ca is the amount of the a-th nutrient ingested during the nutrient intervention process, and cam is the average amount of the a-th nutrient that a normal human body needs to ingest. S32. Obtain the content of corresponding nutrients metabolized by the patient. Based on the comparison between the data of corresponding nutrient content metabolized by the patient and the normal content data of nutrient content metabolized from corresponding ingested nutrients, conduct an assessment of metabolic impact abnormalities. The calculation formula for the assessment of metabolic impact abnormalities is as follows: Wherein, dx is the metabolic impact abnormal assessment value, B is the type of nutrient metabolized, wb is the impact weight of the b-th type of nutrient metabolized, fb is the content data of the b-th nutrient metabolized by the patient, and fbm is the normal content data of the b-th nutrient metabolized by the patient corresponding to the ingested nutrient. S33. The metabolic impact abnormality assessment value of the corresponding nutritional intervention cycle is obtained by dividing the metabolic impact abnormality assessment result of the corresponding nutritional intervention cycle by the standardized nutritional intake abnormality assessment value and averaging the result. The metabolic impact abnormality assessment value of the corresponding nutritional intervention cycle is obtained by dividing the result by the metabolic abnormality assessment value of the patients in the previous cycle and taking the reciprocal. S4. Based on the abnormal changes in the patient's body and the results of the assessment of the patient's metabolic abnormalities, the effect of the nutritional intervention process is analyzed. The calculated nutritional intervention cycle metabolic effect and the patient's body nutritional abnormality analysis results are obtained. The reciprocal of the obtained patient body nutritional abnormality analysis results is calculated and weighted and summed with the nutritional intervention cycle metabolic effect to obtain the effect of the nutritional intervention process. S5. Determine whether nutritional risk warning is needed based on the effectiveness of nutritional intervention.

2. The method for nutritional risk assessment of cancer patients for information-based planning as described in claim 1, characterized in that, In step S1, the changes in tumor growth of the tumor patient include changes in tumor size and volume, the content of nutrients ingested by the patient including protein, calories, carbohydrates and vitamins, and the content of nutrients metabolized include the content of nutrients in excrement and blood.

3. The method for nutritional risk assessment of cancer patients for information-based planning as described in claim 2, characterized in that, Step S2 also includes: S201: The changes in tumor size and volume during the nutritional intervention period and the average size of the tumor are obtained by weighted summation and data standardization to obtain the tumor growth changes of the cancer patient. S202, based on the comparison between the patient's physical growth changes during the nutritional intervention period and the normal physical condition, obtain abnormal data of physical changes that exceed the average range of normal physical condition; S203: Obtain standardized abnormal tumor volume and standardized abnormal changes in body constitution. By comparing the standardized abnormal changes in body constitution with the standardized abnormal tumor volume, the nutritional abnormalities of the patient's body during nutritional intervention can be obtained.

4. The method for nutritional risk assessment of cancer patients for information-based planning as described in claim 3, characterized in that, In step S5, a nutritional risk warning is issued based on the effect of the nutritional intervention process. If the effect of the nutritional intervention process is greater than or equal to the set effect threshold, the nutritional intervention is effective and no nutritional risk warning is issued. If the effect of the nutritional intervention process is less than the set effect threshold, the nutritional intervention is ineffective and a nutritional risk warning is issued.

5. A nutritional risk assessment system for cancer patients for information-based planning based on the method of claim 1, characterized in that, include: The data acquisition module is used to obtain information on tumor growth and physical changes in cancer patients, as well as the content of nutrients ingested and metabolized by patients. The abnormal physical change analysis module is used to assess abnormal physical changes in patients during nutritional intervention by analyzing changes in tumor growth and physical condition in cancer patients. The metabolic abnormality analysis module is used to assess the metabolic abnormalities of patients during nutritional intervention by analyzing the levels of nutrients ingested and metabolized by the patients. The nutritional intervention effect evaluation module is used to analyze the effect of the nutritional intervention process based on the patient's abnormal physical changes and the results of the patient's metabolic abnormality assessment. The nutrition risk warning module is used to determine whether a nutrition risk warning is needed based on the effects of nutrition interventions.

6. A device, characterized in that, The method includes a memory and a processor, wherein the memory stores at least one instruction, which is loaded and executed by the processor to perform the operations described in any one of claims 1 to 4 for the method of nutritional risk assessment of cancer patients for information-based planning.

7. A computer-readable storage medium, characterized in that, The storage medium stores at least one instruction, which is loaded and executed by a processor to perform the operations described in any one of claims 1 to 4 for the method of nutritional risk assessment of cancer patients for information-based planning.

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