A nutritional care intervention system and method for tumor radiotherapy and chemotherapy patients

Abstract

The present invention discloses a nutritional care intervention system and method for tumor radiotherapy and chemotherapy patients, belonging to the field of nutritional care intervention. The present invention obtains patient data, obtains patient basic information, treatment plans and constructs a dynamic knowledge base, constructs a nutritional element intake gap model, imports the recommended daily intake and actual intake of nutritional elements of the patient into the nutritional element intake gap model to evaluate the nutritional gap, constructs a drug metabolism and organ tolerance model, imports radiotherapy and chemotherapy drug parameters into the drug metabolism and organ tolerance model to evaluate the drug metabolism situation and organ tolerance dose, constructs a nutritional risk assessment model, and imports the relative nutritional element gap vector, drug metabolism amount, organ tolerance dose, and patient tumor stage into the nutritional risk assessment model to evaluate the patient's nutritional risk. The present invention comprehensively evaluates the patient's nutritional risk based on the patient's nutritional intake situation, drug metabolism process and organ tolerance, and conducts nutritional care intervention on the patient.

Description

Technical Field

[0001] The present invention belongs to the field of nutritional care intervention, and specifically relates to a nutritional care intervention system and method for tumor radiotherapy and chemotherapy patients. Background Art

[0002] Radiotherapy and chemotherapy are one of the main means of treating tumors. Although it plays an important role in cancer treatment, it also brings many side effects, especially on the patient's nutritional status and overall health. Concurrent radiotherapy and chemotherapy will increase the incidence and degree of treatment-related adverse reactions, affecting the treatment completion rate, while nutritional intervention can supplement the body's needs, better maintain the patient's nutritional status, and improve the patient's tolerance to radiotherapy and chemotherapy.

[0003] Traditional nutritional intervention programs mostly rely on doctors' experience and patients' self-reports, lacking precise calculation and dynamic adjustment for individual patient differences. Radiotherapy and chemotherapy drugs have a great impact on the patient's metabolic process, and factors such as drug metabolism rate, drug concentration, and drug half-life directly affect the efficacy and side effects of the drugs. The change of drug concentration in the patient's body and the drug metabolism difference during treatment will affect the absorption and metabolism process of nutrients, and thus affect the patient's overall nutritional status. The present invention provides a nutritional care intervention system and method for tumor radiotherapy and chemotherapy patients, which can provide precise nutritional intervention strategies for patients by comprehensively evaluating the patient's nutritional intake, drug metabolism process, and organ tolerance, thereby optimizing the patient's treatment process and improving the patient's rehabilitation effect. Summary of the Invention

[0004] In view of the deficiencies of the prior art, the present invention proposes a nutritional care intervention system and method for tumor radiotherapy and chemotherapy patients.

[0005] To achieve the above object, the present invention provides the following technical solutions:

[0006] A nutritional care intervention method for tumor radiotherapy and chemotherapy patients, which includes the following specific steps:

[0007] Obtain patient data, obtain the patient's basic information, treatment plan, and construct a dynamic knowledge base;

[0008] Construct a nutritional element intake gap model, and import the recommended intake and actual intake of the patient's daily nutritional elements into the nutritional element intake gap model to evaluate the nutritional gap;

[0009] Construct a drug metabolism and organ tolerance model, and import the radiotherapy and chemotherapy drug parameters into the drug metabolism and organ tolerance model to evaluate the drug metabolism situation and organ tolerance dose;

[0010] Construct a nutritional risk assessment model, and import the relative nutrient deficiency vector, drug metabolism amount, organ tolerance dose, and patient tumor stage into the nutritional risk assessment model to evaluate the patient's nutritional risk.

[0011] Preferably, the steps of obtaining patient data, obtaining patient basic information, treatment plan, and constructing a dynamic knowledge base include the following specific steps:

[0012] S11. Obtain patient basic information data, including physiological data, dietary data, gastrointestinal function data, and tumor data;

[0013] S12. Obtain the patient's treatment plan, including the site of radiotherapy and chemotherapy, drug types, drug doses, cycles, and specific time points of radiotherapy and chemotherapy;

[0014] S13. Construct a dynamically updated nutritional guidelines database, drug metabolism database, and tumor staging standard database, and update them online in real time.

[0015] Preferably, the steps of constructing a nutrient intake gap model and importing the recommended daily nutrient intake and actual intake of the patient into the nutrient intake gap model to evaluate the nutritional gap include the following specific steps:

[0016] S21. According to the patient's individual parameters, obtain the recommended daily intake of each key nutrient through existing nutritional guidelines. Among them, the recommended daily intake of key nutrients is: , where is the recommended daily intake of the j-th nutrient;

[0017] S22. Through the patient's daily dietary records, nutritional analysis software, and food composition database, obtain the actual intake of each key nutrient of the patient. Among them, the actual daily intake of key nutrients is: , is the actual daily intake of the j-th nutrient;

[0018] S23. Substitute the recommended daily intake and actual daily intake of nutrients into the nutrient absolute gap calculation formula to calculate the nutrient absolute gap. Among them, the calculation formula for the absolute gap of the j-th nutrient is: , where the max operation is an element-wise operation, 0 is a zero vector. If the actual intake exceeds the recommended intake, the corresponding gap is zero;

[0019] S24. Substitute the nutrient absolute gap into the nutrient relative gap calculation formula to calculate the nutrient relative gap. Among them, the calculation formula for the relative gap of the j-th nutrient is: , and generate a nutrient relative gap vector from the relative gaps of each nutrient. Among them, the nutrient relative gap vector is: , where is the importance degree of the j-th nutrient element in the body.

[0020] Preferably, for the construction of the drug metabolism and organ tolerance model, importing the chemoradiotherapy drug parameters into the drug metabolism and organ tolerance model for drug metabolism situation and organ tolerance dose evaluation includes the following specific steps:

[0021] S31. Substitute the drug concentration and drug half-life into the drug metabolism calculation formula to evaluate the concentration change of the drug in the human body after drug use. The drug metabolism calculation formula is: , where D is the drug dose or radiotherapy irradiation duration, is the clearance rate constant, where , is the drug half-life. The drug toxicity peak calculation formula is: , C th is the toxicity threshold concentration, C 0 is the initial drug concentration;

[0022] S32. Calculate the chemoradiotherapy organ tolerance dose based on the LQ model. The chemoradiotherapy organ tolerance dose calculation formula is: , where m is the number of fractions, d is the fractionated dose, is the tumor site sensitivity parameter, which can be obtained by looking up the literature table and reflects the response of the tissue to the fractionated dose.

[0023] Preferably, for the construction of the nutritional risk assessment model, importing the relative nutrient gap vector, drug metabolism amount, organ tolerance dose, and patient's tumor stage into the nutritional risk assessment model to evaluate the patient's nutritional risk includes the following specific steps:

[0024] S41. Substitute the relative nutrient gap vector, drug metabolism amount, organ tolerance dose, and patient's tumor stage into the patient's nutritional risk calculation formula to calculate the patient's nutritional risk. The nutritional risk calculation formula is: , where C(u) is the degree of drug metabolism, is the weight of the patient's tumor stage, is the modulus of the relative nutrient gap vector, g(BED) is the influence factor of the organ tolerance dose on the nutritional requirement, used to calculate the comprehensive nutritional risk or nutritional intervention level. When BED is low, the influence is small, and when BED exceeds the threshold, the influence increases sharply. The influence factor calculation formula of the organ tolerance dose on the nutritional requirement is: , where BED 0 is the organ tolerance threshold, is the slope parameter, used to control the risk steep rise speed after BED exceeds the threshold;

[0025] S42. Generate a multi-dimensional vector from the patient's basic information, relative nutrient gap vector, drug metabolism amount, organ tolerance dose, and patient tumor stage. Import the multi-dimensional vector and the nutritional risk calculation formula into a deep learning model to capture the non-linear relationship between treatment characteristics and nutritional deficiencies. Use historical data markers for backpropagation training to obtain a nutritional risk level assessment. Based on different nutritional levels, develop personalized nutritional intervention strategies. If the nutritional risk level far exceeds the standard range, immediately conduct intensive nutritional supplementation and adjust the diet structure. If the nutritional risk level fluctuates around the standard range, review the nutritional indicators weekly and dynamically adjust the intervention plan. If the nutritional risk level is within the standard range, maintain the current nutritional strategy and monitor regularly;

[0026] S43. Collect the patient's key indicator data weekly, such as plasma protein, albumin, and total nutritional score. Compare the key indicator data with the baseline values, and feedback the review results to the nutritional risk calculation formula and the deep neural network. Use the incremental learning algorithm to update the model parameters online for dynamic adaptive adjustment. Based on the evaluation results, adjust the subsequent nutritional intervention strategy.

[0027] A nutritional care intervention system for cancer radiotherapy and chemotherapy patients, which is implemented based on the above-mentioned nutritional care intervention method for cancer radiotherapy and chemotherapy patients, and specifically includes:

[0028] A data acquisition module for acquiring the patient's basic information, treatment plan, and constructing a dynamic knowledge base;

[0029] A nutritional element intake gap module for importing the recommended daily intake and actual intake of the patient's nutritional elements into a nutritional element intake gap model to evaluate the nutritional gap;

[0030] A drug metabolism and organ tolerance module for importing radiotherapy and chemotherapy drug parameters into a drug metabolism and organ tolerance model to evaluate the drug metabolism situation and organ tolerance dose;

[0031] A nutritional risk assessment module for importing the relative nutrient gap vector, drug metabolism amount, organ tolerance dose, and patient tumor stage into a nutritional risk assessment model to evaluate the patient's nutritional risk.

[0032] An electronic device, including: a processor and a memory, wherein a computer program that can be called by the processor is stored in the memory;

[0033] The processor executes the above-mentioned nutritional care intervention method for cancer radiotherapy and chemotherapy patients by calling the computer program stored in the memory.

[0034] A computer-readable storage medium stores instructions that, when executed on a computer, cause the computer to perform the above-described nutritional care intervention method for cancer radiotherapy and chemotherapy patients.

[0035] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0036] The present invention obtains patient data, obtains patient basic information, treatment plans, and constructs a dynamic knowledge base, constructs a nutritional element intake gap model, imports the recommended daily intake and actual intake of nutritional elements of the patient into the nutritional element intake gap model to evaluate the nutritional gap, constructs a drug metabolism and organ tolerance model, imports radiotherapy and chemotherapy drug parameters into the drug metabolism and organ tolerance model to evaluate drug metabolism and organ tolerance doses, constructs a nutritional risk assessment model, and imports the relative nutritional element gap vector, drug metabolism amount, organ tolerance dose, and patient tumor stage into the nutritional risk assessment model to evaluate the patient's nutritional risk. The present invention comprehensively evaluates the patient's nutritional risk based on the patient's nutritional intake, drug metabolism process, and organ tolerance, and performs nutritional care interventions on the patient. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 is a schematic diagram of the overall process of the nutritional care intervention method for cancer radiotherapy and chemotherapy patients of the present invention;

[0038] Figure 2 is a flowchart of the patient nutritional risk calculation of the present invention;

[0039] Figure 3 is a schematic diagram of the overall framework of the nutritional care intervention system for cancer radiotherapy and chemotherapy patients of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0040] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments.

[0041] Example 1

[0042] Please refer to Figure 1-2 , an embodiment provided by the present invention: A nutritional care intervention method for cancer radiotherapy and chemotherapy patients, which includes the following specific steps:

[0043] Obtain patient data, obtain patient basic information, treatment plans, and construct a dynamic knowledge base;

[0044] Construct a nutritional element intake gap model, and import the recommended daily intake and actual intake of nutritional elements of the patient into the nutritional element intake gap model to evaluate the nutritional gap;

[0045] Construct a drug metabolism and organ tolerance model, import the chemoradiotherapy drug parameters into the drug metabolism and organ tolerance model to evaluate the drug metabolism situation and the organ tolerance dose;

[0046] Construct a nutritional risk assessment model, import the relative nutritional element deficiency vector, drug metabolism amount, organ tolerance dose, and patient tumor stage into the nutritional risk assessment model to evaluate the patient's nutritional risk.

[0047] In this embodiment, it should be specifically noted that obtaining patient data, obtaining patient basic information, treatment plan, and constructing a dynamic knowledge base include the following specific steps:

[0048] S11. Obtain patient basic information data, including physiological data, dietary data, gastrointestinal function data, and tumor data;

[0049] S12. Obtain the patient's treatment plan, including the location of chemoradiotherapy, drug types, drug doses, cycles, and specific time points of chemoradiotherapy;

[0050] S13. Construct a dynamically updated nutritional guidelines database, drug metabolism database, and tumor staging standard database, and update them online in real time.

[0051] In this embodiment, it should be specifically noted that constructing a nutritional element intake gap model, importing the recommended daily intake and actual intake of nutritional elements of the patient into the nutritional element intake gap model to evaluate the nutritional gap includes the following specific steps:

[0052] S21. According to the patient's individual parameters, obtain the recommended daily intake of each key nutritional element through existing nutritional guidelines. Among them, the recommended daily intake of key nutritional elements is: , where is the recommended daily intake of the jth nutritional element;

[0053] S22. Through the patient's daily dietary records, nutritional analysis software, and food composition database, obtain the actual intake of each key nutritional element of the patient. Among them, the daily actual intake of key nutritional elements is: , is the daily actual intake of the jth nutritional element;

[0054] S23. Substitute the recommended daily intake and actual daily intake of nutritional elements into the nutritional element absolute gap calculation formula to calculate the nutritional element absolute gap. Among them, the calculation formula for the absolute gap of the jth nutritional element is: , where the max operation is an element-by-element operation, 0 is a zero vector. If the actual intake exceeds the recommended intake, the corresponding gap is zero;

[0055] S24. Substitute the absolute nutrient gap into the relative nutrient gap calculation formula to calculate the relative nutrient gap. Among them, the relative nutrient gap calculation formula for the j-th nutrient is: , generate a relative nutrient gap vector for each nutrient. Among them, the relative nutrient gap vector is: , where is the importance degree of the j-th nutrient in the body.

[0056] It should be specifically noted in this embodiment that constructing a drug metabolism and organ tolerance model, importing radiotherapy and chemotherapy drug parameters into the drug metabolism and organ tolerance model to evaluate the drug metabolism situation and organ tolerance dose includes the following specific steps:

[0057] S31. Substitute the drug concentration and drug half-life into the drug metabolism calculation formula to evaluate the concentration change of the drug in the human body after use. Among them, the drug metabolism calculation formula is: , where D is the drug dose or radiotherapy irradiation duration, is the clearance rate constant, where , is the drug half-life. Among them, the drug toxicity peak calculation formula is: , C th is the toxicity threshold concentration, which jointly reflects the drug concentration change in the patient's body through the drug dose and the clearance rate constant. C 0 is the initial drug concentration;

[0058] S32. Calculate the radiotherapy and chemotherapy organ tolerance dose based on the LQ model. Among them, the radiotherapy and chemotherapy organ tolerance dose calculation formula is: , where m is the number of fractions and d is the fraction dose, is the tumor site sensitivity parameter, which can be obtained by looking up the literature table and reflects the response of the tissue to the fractionated dose.

[0059] It should be specifically noted in this embodiment that constructing a nutritional risk assessment model, importing the relative nutrient gap vector, drug metabolism amount, organ tolerance dose, and patient tumor stage into the nutritional risk assessment model to evaluate the patient's nutritional risk includes the following specific steps:

[0060] S41. Substitute the relative nutrient gap vector, drug metabolism amount, organ tolerance dose, and patient tumor stage into the patient nutritional risk calculation formula to calculate the patient's nutritional risk. Among them, the nutritional risk calculation formula is: , where C(u) is the drug metabolism degree, is the patient tumor stage weight, is the modulus of the relative nutrient gap vector, and g(BED) is the impact factor of organ tolerance dose on nutritional requirements, which is used to calculate the comprehensive nutritional risk or nutritional intervention level. When BED is low, the impact is small, and when BED exceeds the threshold, the impact increases sharply. The formula for calculating the impact factor of organ tolerance dose on nutritional requirements is as follows: , where BED 0 is the organ tolerance threshold, is the slope parameter, which is used to control the rapid increase of risk after BED exceeds the threshold. The cumulative effect of drug metabolism is obtained by integrating drug metabolism, which reflects the impact of drug metabolism on nutritional status over a long period of time. At the same time, the tumor stage weight is introduced into the formula to quantify the impact degree of tumor degree on nutritional risk. The modulus of the relative nutrient gap vector reflects the comprehensive gap degree of all key nutrients;

[0061] S42. Generate a multi-dimensional vector from the patient's basic information, relative nutrient gap vector, drug metabolism amount, organ tolerance dose, and patient's tumor stage. Import the multi-dimensional vector and the nutritional risk calculation formula into the deep learning model to capture the non-linear relationship between treatment characteristics and nutritional deficiency. Use historical data markers, actual nutritional deficiency situations, and intervention effects for backpropagation training to obtain a nutritional risk level assessment. According to different nutritional levels, develop personalized nutritional intervention strategies. If the nutritional risk level far exceeds the standard range, immediately conduct intensive nutritional supplementation and adjust the diet structure. If the nutritional risk level fluctuates around the standard range, review nutritional indicators weekly and dynamically adjust the intervention plan. If the nutritional risk level is within the standard range, maintain the current nutritional strategy and monitor regularly;

[0062] S421. Use the Transformer network to process multi-dimensional time series data and combine the attention mechanism to capture the changes in nutritional requirements at different treatment stages;

[0063] S422. Standardize the input vector and use the sliding window technique to process time series data;

[0064] S423. Use transfer learning, pre-train based on the public oncology nutrition dataset, and then fine-tune with the data of this hospital;

[0065] S43. Collect the patient's key indicator data weekly, such as plasma protein, albumin, and total nutrition score. Compare the key indicator data with the baseline value, and feedback the review results to the nutritional risk calculation formula and the deep neural network. Use the incremental learning algorithm to update the model parameters online to achieve dynamic adaptive adjustment. According to the evaluation results, adjust the subsequent nutritional intervention strategy.

[0066] Specifically, in the process of collecting and using patients' basic information and treatment data, strict privacy protection measures are added, such as data encryption, access control, and compliant patient information protection policies. At the same time, the hospital's information management system is integrated to achieve automatic data synchronization and smooth docking.

[0067] It should be noted here that the value-taking method of various setting parameters in this embodiment is as follows: obtain representative comparative data on patients' nutritional intervention situations, hire experts to estimate patients' nutritional risk situations, and at the same time substitute the obtained historical data into the calculation results and judgment results of each step in this embodiment into the fitting software to output the value-taking of various setting parameters that meet the highest judgment accuracy rate.

[0068] The advantages of this embodiment over the prior art are:

[0069] The present invention obtains patients' data, obtains patients' basic information, treatment plans, and constructs a dynamic knowledge base, constructs a nutritional element intake gap model, imports the recommended daily intake and actual intake of nutritional elements of patients into the nutritional element intake gap model to evaluate the nutritional gap, constructs a drug metabolism and organ tolerance model, imports radiotherapy and chemotherapy drug parameters into the drug metabolism and organ tolerance model to evaluate the drug metabolism situation and organ tolerance dose, constructs a nutritional risk assessment model, and imports the relative nutritional element gap vector, drug metabolism amount, organ tolerance dose, and patient tumor stage into the nutritional risk assessment model to evaluate the nutritional risk of patients. The present invention comprehensively evaluates the nutritional risk of patients based on the patients' nutritional intake situation, drug metabolism process, and organ tolerance, and conducts nutritional care interventions for patients.

[0070] Embodiment 2

[0071] As Figure 3 shown, a nutritional care intervention system for tumor radiotherapy and chemotherapy patients is implemented based on the above-mentioned nutritional care intervention method for tumor radiotherapy and chemotherapy patients, and specifically includes a data acquisition module, a nutritional element intake gap module, a drug metabolism and organ tolerance module, and a nutritional risk assessment module. The data acquisition module is used to obtain patients' basic information, treatment plans, and construct a dynamic knowledge base; the nutritional element intake gap module is used to import the recommended daily intake and actual intake of nutritional elements of patients into the nutritional element intake gap model to evaluate the nutritional gap; the drug metabolism and organ tolerance module is used to import radiotherapy and chemotherapy drug parameters into the drug metabolism and organ tolerance model to evaluate the drug metabolism situation and organ tolerance dose; the nutritional risk assessment module is used to import the relative nutritional element gap vector, drug metabolism amount, organ tolerance dose, and patient tumor stage into the nutritional risk assessment model to evaluate the nutritional risk of patients.

[0072] Embodiment 3

[0073] This embodiment provides an electronic device, including: a processor and a memory, where a computer program that can be called by the processor is stored in the memory;

[0074] By calling the computer program stored in the memory, the processor executes the above-mentioned nutritional care intervention method for tumor radiotherapy and chemotherapy patients.

[0075] This electronic device may have relatively large differences due to different configurations or performances, and can include one or more processors (Central Processing Units, CPU) and one or more memories. Among them, at least one computer program is stored in the memory, and this computer program is loaded and executed by the processor to implement the nutritional care intervention method for tumor radiotherapy and chemotherapy patients provided by the above method embodiment. This electronic device can also include other components for realizing the functions of the device. For example, this electronic device can also have components such as wired or wireless network interfaces and input / output interfaces for inputting and outputting data. This embodiment will not be elaborated here.

[0076] Embodiment 4

[0077] This embodiment proposes a computer-readable storage medium, on which a rewritable computer program is stored;

[0078] When the computer program runs on a computer device, it causes the computer device to execute the above-mentioned nutritional care intervention method for tumor radiotherapy and chemotherapy patients.

[0079] For example, the computer-readable storage medium can be a read-only memory (Read-Only Memory, abbreviated as: ROM), a random access memory (Random Access Memory, abbreviated as: RAM), a compact disc read-only memory (Compact Disc Read-Only Memory, abbreviated as: CD-ROM), magnetic tape, floppy disk, and optical data storage device, etc.

[0080] It should be understood that in various embodiments of the present application, the magnitudes of the serial numbers of the above processes do not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.

[0081] It should be understood that determining B according to A does not mean determining B only according to A, and B can also be determined according to A and / or other information.

[0082] The above embodiments can be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The 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, the processes or functions according to the embodiments of the present invention are generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the 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 or / and a wireless network. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or a data center that contains one or more collections of available media. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a magnetic tape), an optical medium (e.g., a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state drive.

Claims

1. A nutritional nursing intervention method for patients undergoing radiotherapy and chemotherapy for tumors, characterized in that: It includes the following specific steps: Acquire patient data, obtain basic patient information, treatment plans, and build a dynamic knowledge base; A nutrient intake gap model was constructed, and the recommended daily nutrient intake and actual daily nutrient intake of patients were imported into the nutrient intake gap model to evaluate the nutrient gap, including the following specific steps: According to the individualized parameters of the patients, the daily recommended intake of each key nutrient element was obtained through the existing nutrition guidelines, where the daily recommended intake of key nutrient elements is: ,in, is the recommended daily intake of the jth nutrient element. The actual intake of each key nutrient element of the patient is obtained through the patient's daily dietary record, nutrition analysis software and food composition database. The actual daily intake of key nutrients is: , is the actual daily intake of the jth nutrient element. Substitute the recommended daily intake and the actual daily intake of the nutrient element into the absolute gap calculation formula to calculate the absolute gap of the nutrient element. The absolute gap calculation formula for the jth nutrient element is: , where max operation is element-by-element operation, 0 is a zero vector, if the actual intake exceeds the recommended intake, the corresponding gap is zero, substitute the absolute gap of the nutrient element into the relative gap calculation formula of the nutrient element to calculate the relative gap of the nutrient element, where the relative gap calculation formula of the jth nutrient element is: , the relative gap of each nutrient element is converted into a nutrient element relative gap vector, where the nutrient element relative gap vector is: ,in, is the importance of the jth nutrient element in the body; Construct a drug metabolism and organ tolerance model, import the parameters of radiotherapy and chemotherapy drugs into the drug metabolism and organ tolerance model to evaluate drug metabolism and organ tolerance dose, including the following specific steps: Substitute the drug concentration and drug half-life into the drug metabolism calculation formula to evaluate the concentration change of the drug in the human body after use, where the drug metabolism calculation formula is: , where D is the drug dose or radiotherapy duration, is the clearance rate constant, where , is the half-life of the drug, and the peak toxicity calculation formula of the drug is: , C th is the toxicity threshold concentration, C0 is the initial drug concentration, and the organ tolerance dose of radiotherapy and chemotherapy is calculated based on the LQ model. The calculation formula for the organ tolerance dose of radiotherapy and chemotherapy is: , where m is the number of fractions, d is the fractional dose, It is a sensitive parameter for tumor location; A nutritional risk assessment model is constructed, and the relative gap vector of nutrient elements, drug metabolism, organ tolerance dose, and patient tumor stage are introduced into the nutritional risk assessment model to assess the patient's nutritional risk, including the following specific steps: the relative gap vector of nutrient elements, drug metabolism, organ tolerance dose, and patient tumor stage are substituted into the patient's nutritional risk calculation formula to calculate the patient's nutritional risk, wherein the nutritional risk calculation formula is: , where C(u) is the degree of drug metabolism, Assign weight to patients’ tumors. is the modulus of the relative gap vector of the nutrient element, g(BED) is the factor affecting the organ tolerance dose on the nutrient requirement, where the calculation formula for the factor affecting the organ tolerance dose on the nutrient requirement is: , where BED0 is the organ tolerance threshold, The slope parameter is used, and the patient's basic information, relative gap vector of nutrient elements, drug metabolism, organ tolerance dose, and patient tumor stage are used to generate a multidimensional vector. The multidimensional vector and the nutritional risk calculation formula are imported into the deep learning model to capture the nonlinear relationship between treatment characteristics and nutritional deficiency. Backpropagation training is performed using historical data labels to obtain nutritional risk level assessment. According to different levels of nutrition, personalized nutritional intervention strategies are formulated. If the nutritional risk level is far beyond the standard range, immediate intensive nutritional supplementation and adjustment of the dietary structure are carried out. If the nutritional risk level fluctuates within the standard range, the nutritional indicators are reviewed weekly and the intervention plan is adjusted dynamically. If the nutritional risk level is within the standard range, the current nutritional strategy is maintained and monitored regularly. The patient's key indicator data are collected weekly, compared with the baseline value, and the review results are fed back to the nutritional risk calculation formula and deep neural network, the model parameters are updated online, and the subsequent nutritional intervention strategy is adjusted according to the evaluation results.

2. The nutritional nursing intervention method for tumor patients undergoing radiotherapy and chemotherapy as claimed in claim 1, characterized in that: The steps of obtaining patient data, obtaining basic patient information, treatment plans and building a dynamic knowledge base include the following specific steps: Obtain basic patient information data, including physiological data, dietary data, gastrointestinal function data, and tumor data; Obtain the patient's treatment plan, including the site of radiotherapy and chemotherapy, drug type, drug dosage, cycle and specific time points of radiotherapy and chemotherapy; Build a dynamically updated nutrition guideline database, drug metabolism database, and tumor staging standard database.

3. A nutritional care intervention system for patients undergoing radiotherapy and chemotherapy for tumors, which is implemented based on the nutritional care intervention method for patients undergoing radiotherapy and chemotherapy for tumors as described in any one of claims 1-2, characterized in that: Specifically include: Data acquisition module, used to obtain basic patient information, treatment plans and build a dynamic knowledge base; The nutrient intake gap module is used to import the patient's recommended daily nutrient intake and actual intake into the nutrient intake gap model to evaluate the nutrient gap; The drug metabolism and organ tolerance module is used to import the parameters of radiochemotherapeutic drugs into the drug metabolism and organ tolerance model to evaluate drug metabolism and organ tolerance dose; The nutritional risk assessment module is used to import the relative gap vector of nutritional elements, drug metabolism, organ tolerance dose, and patient tumor staging into the nutritional risk assessment model to assess the patient's nutritional risk.

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