Nutrition nursing intervention system and method for tumor chemoradiotherapy patient

By constructing multiple models to evaluate the nutritional status and drug metabolism of patients with tumor radiotherapy and chemotherapy, and developing personalized nutritional intervention strategies, solving the problem of difficulty in accurately assessing and dynamically adjusting the nutritional status of patients in the existing technology, improving the treatment tolerance and rehabilitation effect of patients.

CN119964730AActive Publication Date: 2025-05-09SICHUAN CANCER HOSPITAL
View PDF 10 Cites 0 Cited by

Patent Information

Application Number
CN202510452728.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-04-11
Publication Date
2025-05-09
Estimated Expiration
2045-04-11

AI Technical Summary

Technical Problem

The prior art is difficult to provide personalized nutritional interventions for patients with tumor radiotherapy and chemotherapy, which makes it difficult to accurately evaluate and dynamically adjust the nutritional status, affecting the patient's tolerance to treatment and rehabilitation effect.

Method used

By obtaining the patient's basic information, treatment plans and building a dynamic knowledge base, a nutritional element intake gap model, a drug metabolism and organ tolerance model, and a nutritional risk assessment model are constructed, and a patient's nutritional intake, drug metabolism process and organ tolerance are comprehensively evaluated, and a personalized nutritional intervention strategy is formulated.

Benefits of technology

Accurate assessment and dynamic adjustment of the nutritional status of patients with tumor radiotherapy and chemotherapy has been achieved, the patient's treatment process has been optimized, and the patient's rehabilitation effect has been improved.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN119964730A_ABST
    Figure CN119964730A_ABST
Patent Text Reader

Abstract

The invention discloses a nutrition nursing intervention system and method for tumor radiotherapy and chemotherapy patients, and belongs to the field of nutrition nursing intervention. Patient data, patient basic information and treatment schemes are obtained, a dynamic knowledge base is constructed, a nutrient element intake gap model is constructed, and a nutrition element intake gap model is constructed; the method comprises the following steps: importing recommended daily intake and actual daily intake of nutrient elements of a patient into a nutrient element intake gap model to evaluate a nutrient gap, constructing a drug metabolism and organ tolerance model, and importing radiotherapy and chemotherapy drug parameters into the drug metabolism and organ tolerance model to evaluate a drug metabolism condition and an organ tolerance dose. The method comprises the following steps: constructing a nutrition risk assessment model, and introducing a nutrient element relative gap vector, a drug metabolism amount, an organ tolerance dose and a tumor stage of a patient into the nutrition risk assessment model to assess the nutrition risk of the patient, so that the nutrition risk of the patient is assessed by integrating the nutrition intake condition, the drug metabolism process and the organ tolerance of the patient; and performing nutrition nursing intervention on the patient.
Need to check novelty before this filing date? Find Prior Art

Description

Technical Field

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

[0002] Radiotherapy and chemotherapy are one of the main methods of treating tumors. Although they play an important role in cancer treatment, they also bring many side effects, especially the impact on the nutritional status and overall health of patients. Concurrent radiotherapy and chemotherapy will increase the incidence and severity of treatment-related adverse reactions and affect the completion rate of treatment. Nutritional intervention can supplement the body's needs, better maintain the nutritional status of patients, and improve patients' tolerance to radiotherapy and chemotherapy.

[0003] Traditional nutritional intervention programs mostly rely on the experience of doctors and self-reports of patients, lacking precise calculations and dynamic adjustments for individual differences among patients. Radiotherapy and chemotherapy drugs have a great impact on the metabolic process of patients. Factors such as drug metabolic rate, drug concentration, and drug half-life directly affect the effects and side effects of drugs. Changes in drug concentrations in patients and differences in drug metabolism during treatment will affect the absorption and metabolic process of nutrition, and thus affect the overall nutritional status of patients. The present invention provides a nutritional care intervention system and method for patients undergoing radiotherapy and chemotherapy for tumors, which can provide patients with accurate nutritional intervention strategies by comprehensively evaluating the patient's nutritional intake, drug metabolic 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 patients undergoing radiotherapy and chemotherapy.

[0005] To achieve the above object, the present invention provides the following technical solutions: A nutritional nursing intervention method for tumor patients undergoing radiotherapy and chemotherapy comprises the following specific steps: Acquire patient data, obtain basic patient information, treatment plans, and build a dynamic knowledge base; Construct a nutrient intake gap model, and import the patient's recommended daily nutrient intake and actual intake into the nutrient intake gap model to evaluate the nutrient gap; Construct a drug metabolism and organ tolerance model, and import radiotherapy and chemotherapy drug parameters into the drug metabolism and organ tolerance model to evaluate drug metabolism and organ tolerance dose; A nutritional risk assessment model is constructed, and the relative gap vector of nutritional elements, drug metabolism, organ tolerance dose, and patient tumor staging are introduced into the nutritional risk assessment model to evaluate the patient's nutritional risk.

[0006] Preferably, the steps of obtaining patient data, obtaining basic patient information, treatment plans and building a dynamic knowledge base include the following specific steps: S11. Obtain basic patient information data, including physiological data, dietary data, gastrointestinal function data, and tumor data; S12. 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; S13. Build a dynamically updated nutrition guideline database, drug metabolism database, and tumor staging standard database, and update them online in real time.

[0007] Preferably, the step of constructing a nutrient element intake gap model and importing the patient's recommended daily nutrient element intake and actual intake into the nutrient element intake gap model to assess the nutrient gap comprises the following specific steps: S21. According to the patient's individualized parameters, obtain the recommended daily intake of each key nutrient element through existing nutrition guidelines, where the recommended daily intake of key nutrients is: ,in, is the recommended daily intake of the jth nutrient element; S22. Obtain the actual intake of each key nutrient element of the patient through the patient's daily dietary record, nutrition analysis software and food composition database, wherein the actual daily intake of the key nutrient element is: , is the actual daily intake of j nutrients; S23. Substituting the recommended daily intake and the actual daily intake of the nutrient elements into the absolute gap calculation formula of the nutrient elements to calculate the absolute gap of the nutrient elements, wherein the absolute gap calculation formula of the jth nutrient element is: , where the max operation is an element-by-element operation, 0 is a zero vector, and if the actual intake exceeds the recommended intake, the corresponding gap is zero; S24, substituting 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, wherein 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 in the body.

[0008] Preferably, the construction of the drug metabolism and organ tolerance model, and the introduction of the radiotherapy and chemotherapy drug parameters into the drug metabolism and organ tolerance model to evaluate the drug metabolism and organ tolerance dose include the following specific steps: S31. Substitute the drug concentration and drug half-life into the drug metabolism calculation formula to evaluate the change in drug concentration 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 concentration of the drug; S32. Calculate the organ tolerance dose of radiotherapy and chemotherapy based on the LQ model, where 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 tumor site-sensitive parameter that can be obtained by looking up literature tables and reflects the response of tissue to fractionated dose.

[0009] Preferably, the construction of the nutritional risk assessment model, introducing the relative gap vector of nutritional elements, drug metabolism, organ tolerance dose, and patient tumor stage into the nutritional risk assessment model to assess the patient's nutritional risk includes the following specific steps: S41. Substitute the relative gap vector of nutrient elements, drug metabolism, organ tolerance dose, and patient tumor stage into the patient 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 impact factor of organ tolerance dose on nutritional demand, 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 calculation formula of the impact factor of organ tolerance dose on nutritional demand is: , where BED0 is the organ tolerance threshold, is the slope parameter, which is used to control the speed of risk rise after BED exceeds the threshold; S42. Generate a multidimensional vector using the patient's basic information, relative gap vector of nutrient elements, drug metabolism, organ tolerance dose, and patient tumor stage. Import the multidimensional vector and nutritional risk calculation formula into the deep learning model to capture the nonlinear relationship between treatment characteristics and nutritional deficiency. Use historical data tags for back propagation training to obtain nutritional risk level assessment. According to different levels of nutrition, formulate personalized nutritional intervention strategies. If the nutritional risk level is far beyond the standard range, immediately strengthen nutritional supplements and adjust the dietary structure. If the nutritional risk level fluctuates within 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. S43. Collect key indicator data of patients every week, such as plasma protein, albumin, and total nutritional score, compare the key indicator data with the baseline value, feed back the review results to the nutritional risk calculation formula and deep neural network, use the incremental learning algorithm to update the model parameters online to achieve dynamic adaptive adjustment, and adjust the subsequent nutritional intervention strategy according to the evaluation results.

[0010] A nutritional care intervention system for patients with tumor radiotherapy and chemotherapy is implemented based on the above-mentioned nutritional care intervention method for patients with tumor radiotherapy and chemotherapy, and specifically includes: 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.

[0011] An electronic device comprises: a processor and a memory, wherein the memory stores a computer program that can be called by the processor; The processor executes the above-mentioned nutritional care intervention method for tumor patients undergoing radiotherapy and chemotherapy by calling the computer program stored in the memory.

[0012] A computer-readable storage medium stores instructions, which, when executed on a computer, enable the computer to execute the above-mentioned nutritional care intervention method for patients with tumor radiotherapy and chemotherapy.

[0013] Compared with the prior art, the present invention has the following beneficial effects: The present invention obtains patient data, obtains basic information about the patient, treatment plans and constructs a dynamic knowledge base, constructs a nutrient element intake gap model, imports the recommended daily nutrient element intake and the actual intake of the patient into the nutrient element intake gap model to evaluate the nutrient 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 and organ tolerance dose, constructs a nutritional risk assessment model, imports the nutrient element relative gap vector, drug metabolism amount, organ tolerance dose and patient tumor staging into the nutritional risk assessment model to evaluate the patient's nutritional risk. The present invention comprehensively evaluates the patient's nutritional intake, drug metabolism process and organ tolerance, and performs nutritional care intervention on the patient. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 This is a schematic diagram of the overall process of a nutritional nursing intervention method for tumor patients undergoing radiotherapy and chemotherapy according to the present invention; Figure 2 This is a flow chart for calculating nutritional risk of patients according to the present invention; Figure 3 This is a schematic diagram of the overall framework of a nutritional care intervention system for tumor patients undergoing radiotherapy and chemotherapy according to the present invention. DETAILED DESCRIPTION

[0015] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0016] Example 1

[0017] See also Figure 1-2 , an embodiment provided by the present invention: a method for nutritional care intervention for patients undergoing radiotherapy and chemotherapy for tumors, comprising the following specific steps: Acquire patient data, obtain basic patient information, treatment plans, and build a dynamic knowledge base; Construct a nutrient intake gap model, and import the patient's recommended daily nutrient intake and actual intake into the nutrient intake gap model to evaluate the nutrient gap; Construct a drug metabolism and organ tolerance model, and import radiotherapy and chemotherapy drug parameters into the drug metabolism and organ tolerance model to evaluate drug metabolism and organ tolerance dose; A nutritional risk assessment model is constructed, and the relative gap vector of nutritional elements, drug metabolism, organ tolerance dose, and patient tumor staging are introduced into the nutritional risk assessment model to evaluate the patient's nutritional risk.

[0018] In this embodiment, it should be specifically explained that obtaining patient data, obtaining basic patient information, treatment plans, and building a dynamic knowledge base include the following specific steps: S11. Obtain basic patient information data, including physiological data, dietary data, gastrointestinal function data, and tumor data; S12. 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; S13. Build a dynamically updated nutrition guideline database, drug metabolism database, and tumor staging standard database, and update them online in real time.

[0019] It should be specifically explained in this embodiment that constructing a nutrient element intake gap model, importing the recommended daily nutrient element intake and the actual daily nutrient element intake of the patient into the nutrient element intake gap model to evaluate the nutrient gap includes the following specific steps: S21. According to the patient's individualized parameters, obtain the recommended daily intake of each key nutrient element through existing nutrition guidelines, where the recommended daily intake of key nutrients is: ,in, is the recommended daily intake of the jth nutrient element; S22. Obtain the actual intake of each key nutrient element of the patient through the patient's daily dietary record, nutrition analysis software and food composition database, wherein the actual daily intake of the key nutrient element is: , is the actual daily intake of j nutrients; S23. Substituting the recommended daily intake and the actual daily intake of the nutrient elements into the absolute gap calculation formula of the nutrient elements to calculate the absolute gap of the nutrient elements, wherein the absolute gap calculation formula of the jth nutrient element is: , where the max operation is an element-by-element operation, 0 is a zero vector, and if the actual intake exceeds the recommended intake, the corresponding gap is zero; S24, substituting 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, wherein 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 in the body.

[0020] It should be specifically explained in this embodiment that constructing a drug metabolism and organ tolerance model and importing radiotherapy and chemotherapy drug parameters into the drug metabolism and organ tolerance model to evaluate drug metabolism and organ tolerance dose include the following specific steps: S31. Substitute the drug concentration and drug half-life into the drug metabolism calculation formula to evaluate the change in drug concentration 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 toxic threshold concentration, which reflects the concentration change of the drug in the patient's body through the drug dose and the clearance rate constant, and C0 is the initial concentration of the drug; S32. Calculate the organ tolerance dose of radiotherapy and chemotherapy based on the LQ model, where 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 tumor site-sensitive parameter that can be obtained by looking up literature tables and reflects the response of tissue to fractionated dose.

[0021] In this embodiment, it should be specifically explained that constructing a nutritional risk assessment model, introducing the relative gap vector of nutritional elements, drug metabolism, organ tolerance dose, and patient tumor stage into the nutritional risk assessment model to assess the nutritional risk of patients includes the following specific steps: S41. Substitute the relative gap vector of nutrient elements, drug metabolism, organ tolerance dose, and patient tumor stage into the patient 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 impact factor of organ tolerance dose on nutritional demand, 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 calculation formula of the impact factor of organ tolerance dose on nutritional demand is: , where BED0 is the organ tolerance threshold, is the slope parameter, which is used to control the steep rise speed of risk after BED exceeds the threshold. The cumulative effect of drug metabolism is obtained by integrating drug metabolism, reflecting the impact of drug metabolism on nutritional status over a long period of time. At the same time, the weight of tumor distribution is introduced into the formula to quantify the impact of tumor severity on nutritional risk. The modulus of the relative gap vector of nutrient elements reflects the comprehensive gap degree of all key nutrients. S42. Generate a multidimensional vector based on the patient's basic information, relative nutritional gap vector, drug metabolism, organ tolerance dose, and patient tumor stage. Import the multidimensional vector and nutritional risk calculation formula into the deep learning model to capture the nonlinear relationship between treatment characteristics and nutritional deficiency. Use historical data tags, actual nutritional deficiency conditions, and intervention effects for back propagation training to obtain nutritional risk level assessment. According to different levels of nutrition, formulate personalized nutritional intervention strategies. If the nutritional risk level is far beyond the standard range, immediately strengthen nutritional supplements and adjust the dietary structure. If the nutritional risk level fluctuates within 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. S421, using Transformer network to process multi-dimensional time series data and combining attention mechanism to capture changes in nutritional requirements at different treatment stages; S422, standardize the input vector and process the time series data using a sliding window technique; S423, using transfer learning, pre-training based on public tumor nutrition datasets, and then fine-tuning with our own data; S43. Collect key indicator data of patients every week, such as plasma protein, albumin, and total nutritional score, compare the key indicator data with the baseline value, feed back the review results to the nutritional risk calculation formula and deep neural network, and use the incremental learning algorithm to update the model parameters online to achieve dynamic adaptive adjustment. Adjust the subsequent nutritional intervention strategy according to the evaluation results.

[0022] It should be specifically noted here that in the process of collecting and using patients' basic information and treatment data, strict privacy protection measures are added, such as data encryption, access permission control, and compliant patient information protection policies. At the same time, the hospital's information management system is integrated to achieve automatic synchronization and smooth connection of data.

[0023] It should be noted here that the various setting parameters in this embodiment are determined by obtaining representative comparative data on patient nutritional interventions, hiring experts to estimate the nutritional risk of patients, and simultaneously substituting the calculation results and judgment results of each step in this embodiment into the fitting software by acquiring historical data, and outputting the values ​​of various setting parameters that meet the highest judgment accuracy.

[0024] The advantages of this embodiment over the prior art are: The present invention obtains patient data, obtains basic information about the patient, treatment plans and constructs a dynamic knowledge base, constructs a nutrient element intake gap model, imports the recommended daily nutrient element intake and the actual intake of the patient into the nutrient element intake gap model to evaluate the nutrient 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 and organ tolerance dose, constructs a nutritional risk assessment model, imports the nutrient element relative gap vector, drug metabolism amount, organ tolerance dose and patient tumor staging into the nutritional risk assessment model to evaluate the patient's nutritional risk. The present invention comprehensively evaluates the patient's nutritional intake, drug metabolism process and organ tolerance, and performs nutritional care intervention on the patient.

[0025] Example 2

[0026] like Figure 3 As shown, a nutritional nursing intervention system for tumor patients undergoing radiotherapy and chemotherapy is implemented based on the above-mentioned nutritional nursing intervention method for tumor patients undergoing radiotherapy and chemotherapy, and specifically includes a data acquisition module, a nutrient 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 basic patient information, treatment plans, and build a dynamic knowledge base; the nutrient element intake gap module is used to import the patient's daily recommended nutrient element intake and actual intake into a nutrient 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 drug metabolism and organ tolerance dose; the nutritional risk assessment module is used to import nutrient element relative gap vectors, drug metabolism amounts, organ tolerance doses, and patient tumor staging into the nutritional risk assessment model to evaluate the patient's nutritional risk.

[0027] Example 3

[0028] 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; The processor executes the above-mentioned nutritional care intervention method for tumor patients undergoing radiotherapy and chemotherapy by calling the computer program stored in the memory.

[0029] The electronic device may have relatively large differences due to different configurations or performances, and may include one or more processors (Central Processing Units, CPU) and one or more memories, wherein the memory stores at least one computer program, and the computer program is loaded and executed by the processor to implement a nutritional care intervention method for tumor radiotherapy and chemotherapy patients provided in the above method embodiment. The electronic device may also include other components for realizing the functions of the device, for example, the electronic device may also have components such as a wired or wireless network interface and an input and output interface to input and output data. This embodiment will not be described in detail here.

[0030] Example 4

[0031] This embodiment provides a computer-readable storage medium having a rewritable computer program stored thereon; When the computer program runs on a computer device, the computer device is caused to execute the above-mentioned nutritional care intervention method for patients with tumor radiotherapy and chemotherapy.

[0032] For example, the computer readable storage medium can be a read-only memory (ROM), a random access memory (RAM), a compact disc (CD-ROM), a magnetic tape, a floppy disk, an optical data storage device, etc.

[0033] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does 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 on the implementation process of the embodiments of the present application.

[0034] It should be understood that determining B based on A does not mean determining B only based on A. B can also be determined based on A and / or other information.

[0035] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by 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 a computer instruction or computer program is loaded or executed on a computer, a process or function according to an embodiment of the present invention is generated in whole or in part. 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 computer-readable storage medium. For example, computer instructions can be transmitted from one website site, computer, server or data center to another website site, computer, server or data center through 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 data center that contains one or more available media sets. The available medium can be a magnetic medium (for example, a floppy disk, a hard disk, a tape), an optical medium (for example, a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state hard disk.

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; Construct a nutrient intake gap model, and import the patient's recommended daily nutrient intake and actual intake into the nutrient intake gap model to evaluate the nutrient gap; Construct a drug metabolism and organ tolerance model, and import radiotherapy and chemotherapy drug parameters into the drug metabolism and organ tolerance model to evaluate drug metabolism and organ tolerance dose; A nutritional risk assessment model is constructed, and the relative gap vector of nutritional elements, drug metabolism, organ tolerance dose, and patient tumor staging are introduced into the nutritional risk assessment model to evaluate the patient's nutritional risk.

2. The nutritional nursing intervention method for tumor patients undergoing radiotherapy and chemotherapy as claimed in claim 1, characterized in that: The method of constructing a nutrient element intake gap model and importing the patient's recommended daily nutrient element intake and actual intake into the nutrient element intake gap model to assess the nutrient gap includes the following specific steps: According to the patient's individualized parameters, the daily recommended intake of each key nutrient element is obtained through existing nutrition guidelines, where the daily recommended intake of key nutrients 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 nutrient elements is: , is the actual daily intake of j nutrients; Substitute the recommended daily intake and actual daily intake of nutrients into the absolute gap calculation formula for nutrients to calculate the absolute gap of nutrients. The absolute gap calculation formula for the jth nutrient element is: , where the max operation is an element-by-element operation, 0 is a zero vector, and if the actual intake exceeds the recommended intake, the corresponding gap is zero; Substitute the absolute gap of nutrients into the relative gap calculation formula of nutrients to calculate the relative gap of nutrients. 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 in the body.

3. The nutritional nursing intervention method for tumor patients undergoing radiotherapy and chemotherapy as claimed in claim 2, characterized in that: The construction of the drug metabolism and organ tolerance model and the introduction of the radiotherapy and chemotherapy drug parameters into the drug metabolism and organ tolerance model to evaluate the drug metabolism and organ tolerance dose include the following specific steps: Substitute the drug concentration and drug half-life into the drug metabolism calculation formula to evaluate the change in drug concentration in the human body after use. 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 concentration of the drug; The organ tolerance dose of radiotherapy and chemotherapy is calculated based on the LQ model, where the formula for calculating 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.

4. The nutritional nursing intervention method for tumor patients undergoing radiotherapy and chemotherapy as claimed in claim 3, characterized in that: The construction of the nutritional risk assessment model, introducing the relative gap vector of nutritional elements, drug metabolism, organ tolerance dose, and patient tumor stage into the nutritional risk assessment model to assess the nutritional risk of patients includes the following specific steps: The nutritional risk of the patient is calculated by substituting the relative gap vector of nutrient elements, drug metabolism, organ tolerance dose, and patient tumor stage into the patient nutritional risk calculation formula, where 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, is the slope parameter.

5. The nutritional nursing intervention method for tumor patients undergoing radiotherapy and chemotherapy as claimed in claim 4, characterized in that: The construction of the nutritional risk assessment model, introducing the relative gap vector of nutritional elements, drug metabolism, organ tolerance dose, and patient tumor stage into the nutritional risk assessment model to assess the nutritional risk of patients includes the following specific steps: Generate a multidimensional vector using the patient's basic information, relative gap vector of nutrient elements, drug metabolism, organ tolerance dose, and patient tumor stage. Import the multidimensional vector and nutritional risk calculation formula into the deep learning model to capture the nonlinear relationship between treatment characteristics and nutritional deficiency. Use historical data labels for backpropagation training to obtain nutritional risk level assessment. According to different levels of nutrition, formulate personalized nutritional intervention strategies. If the nutritional risk level is far beyond the standard range, immediately strengthen nutritional supplements and adjust the dietary structure. If the nutritional risk level fluctuates within 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. The key indicator data of patients are collected every week, compared with the baseline values, 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.

6. The nutritional nursing intervention method for tumor patients undergoing radiotherapy and chemotherapy as claimed in claim 4, 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.

7. 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 to 6, 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.

Citation Information

Patent Citations

  • Child nutrient deficiency risk assessment system

    CN110033845A

  • Cancer patient nutrition management system

    CN111445981A

  • Diet behavior-based disease prediction model construction method and system

    CN111816280A

  • Intelligent calculation engine system and calculation method for nutrition formula of critical patient

    CN113744839A

  • Prediction model for dystrophy of nasopharyngeal carcinoma patient

    CN118197625A