Tumor radiotherapy and chemotherapy patient nutritional symptom evaluation method and system based on multi-dimensional data

Abstract

The invention discloses a tumor chemoradiotherapy patient nutritional symptom evaluation method and system based on multi-dimensional data, and relates to the technical field of medical artificial intelligence, and the method comprises the steps: obtaining the symptom information and diet condition of a tumor chemoradiotherapy patient, and calculating a state index according to the diet condition; constructing a nutritional symptom evaluation model according to the symptom information and the diet condition, and determining nutritional symptom indexes; and evaluating the severity of the nutritional symptoms according to the state indexes and the nutritional symptom indexes, and determining symptom management measures according to an evaluation result. According to the method, the three dimensions of the symptom information, the dietary behavior and the psychological state of the patient are fused, so that the limitation that traditional nutrition evaluation and symptom evaluation are separated from each other is broken through, and the problem of one-sided evaluation of the nutrition state of the radiotherapy and chemotherapy patient is solved; patients are divided into different nutritional symptom types, and personalized management measures are provided, so that the pertinence and effectiveness of intervention are improved, and the treatment interruption rate caused by nutritional problems is reduced.

Description

Technical Field

[0001] This application relates to the field of medical artificial intelligence technology, and particularly to a method and system for evaluating the nutritional symptoms of tumor radiotherapy and chemotherapy patients based on multi-dimensional data. Background Art

[0002] With the continuous development of tumor radiotherapy and chemotherapy technologies, the survival period of patients has been significantly extended. However, various adverse reactions caused by radiotherapy and chemotherapy and their impact on the nutritional status of patients have become key factors affecting the treatment effect and quality of life. In recent years, the field of nutritional symptom assessment for tumor patients has undergone a transformation process from single-index assessment to comprehensive assessment. Early assessment methods mainly relied on biochemical indicators such as weight changes and serum albumin. Subsequently, various nutritional assessment scales, such as standardized tools like the Patient-Generated Subjective Global Assessment (PG-SGA) and Nutritional Risk Screening (NRS), have been developed. At the same time, with the progress of digital medical technology, in clinical practice, means such as electronic patient diaries and wearable devices have gradually been adopted to collect patient symptom and dietary behavior data, providing a rich data basis for the accurate assessment of nutritional symptoms. Currently, the modern concept of nutritional symptom assessment has developed in a multi-dimensional direction, comprehensively considering symptom clusters, dietary behavior characteristics, time rhythms, and individual patient differences, rather than simply quantifying the severity of symptoms.

[0003] However, the existing nutritional symptom assessment technologies for tumor radiotherapy and chemotherapy patients still have many deficiencies. Firstly, existing assessment methods usually separate symptom assessment from nutritional status assessment and fail to establish an effective correlation model between the two, making it difficult to accurately quantify the actual impact of symptoms on nutritional status. Secondly, in terms of data processing, existing technologies lack sufficient consideration of the time dimension and do not incorporate the interval between the symptom occurrence time and the assessment time point into the assessment framework, ignoring the changing characteristics of symptoms. Moreover, there is a lack of differential treatment for the impact weights of different symptoms, and simple addition or averaging calculation methods are usually adopted, failing to reflect the differences in the impact of various symptoms on nutritional status. At the level of dietary behavior assessment, existing technologies overly focus on total calorie intake while ignoring key factors such as dietary structure diversity or meal time regularity, and at the same time fail to establish an effective quantification model for dietary deviation. In addition, existing assessment results generally lack targeted subsequent intervention guidance and cannot automatically match corresponding symptom management measures according to the assessment results. These deficiencies seriously restrict tumor radiotherapy and chemotherapy patients from obtaining accurate and personalized nutritional symptom management plans. Summary of the Invention

[0004] In view of the above problems, this application is proposed.

[0005] Therefore, this application provides a method and system for evaluating the nutritional symptoms of tumor radiotherapy and chemotherapy patients based on multi-dimensional data, which can solve the problems mentioned in the background art.

[0006] To solve the above technical problems, the present application provides the following technical solutions: In a first aspect, the present application provides a method for evaluating nutritional symptoms of tumor radiotherapy and chemotherapy patients based on multi-dimensional data, including: obtaining the symptom information and dietary situation of tumor radiotherapy and chemotherapy patients, and calculating a status index according to the dietary situation; constructing a nutritional symptom evaluation model based on the symptom information and the dietary situation, and determining nutritional symptom indicators; evaluating the severity of nutritional symptoms according to the status index and the nutritional symptom indicators, and determining symptom management measures according to the evaluation results.

[0007] Preferably, calculating the status index according to the dietary situation includes: calculating the daily dietary intake deviation factor, the variation degree of dietary time, and the consistency factor between the intake behavior and the time rhythm of the patient according to the dietary situation; coupling and modeling the daily dietary intake deviation factor, the variation degree of dietary time, and the consistency factor between the intake behavior and the time rhythm of the patient to obtain a status index.

[0008] Preferably, constructing a nutritional symptom evaluation model based on the symptom information and the dietary situation includes: calculating a symptom burden index based on the symptom information; calculating a dietary diversity index based on the dietary situation; constructing a nutritional symptom evaluation model by combining the symptom burden index, the daily dietary intake deviation factor of the patient, and the dietary diversity index, and using the output result of the nutritional symptom evaluation model as a nutritional symptom indicator.

[0009] Preferably, calculating the symptom burden index based on the symptom information includes: determining a time weight factor based on the interval between the symptom occurrence time and the current evaluation time; adjusting the symptom impact weight of the severity of each symptom using the Delphi method; calculating the symptom burden index using the time weight factor, the symptom impact weight, and the symptom information.

[0010] Preferably, calculating the dietary diversity index based on the dietary situation includes: counting the number of different food types ingested according to the dietary situation; comparing the number of different food types with the recommended reference value of daily food type diversity; performing a non-linear transformation on the comparison result to obtain a dietary diversity index.

[0011] Preferably, evaluating the severity of nutritional symptoms according to the status index and the nutritional symptom indicators, and determining symptom management measures according to the evaluation results includes: comparing the status index with a status threshold to obtain a status comparison result; comparing the nutritional symptom indicator with a nutritional symptom threshold to obtain a nutritional symptom comparison result; evaluating according to the status comparison result and the nutritional symptom comparison result to obtain the severity of nutritional symptoms; determining symptom management measures based on the severity of nutritional symptoms.

[0012] Preferably, the symptom management measures are one or more of pipeline care, diet guidance, exercise advice, and psychological support.

[0013] In a second aspect, the present application also provides a nutritional symptom assessment system for tumor radiotherapy and chemotherapy patients based on multi-dimensional data, including: a patient symptom and diet collection module, configured to obtain the symptom information and diet conditions of tumor radiotherapy and chemotherapy patients, and calculate status indicators according to the diet conditions; a nutritional symptom index module, configured to construct a nutritional symptom assessment model based on the symptom information and diet conditions, and determine nutritional symptom indicators; a nutritional symptom assessment module, configured to evaluate the severity of nutritional symptoms according to the status indicators and nutritional symptom indicators, and determine symptom management measures according to the evaluation results.

[0014] In a third aspect, the present application also provides a computer device, including a memory and a processor, where the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented: Obtain the symptom information and diet conditions of tumor radiotherapy and chemotherapy patients, and calculate status indicators according to the diet conditions; construct a nutritional symptom assessment model based on the symptom information and the diet conditions, and determine nutritional symptom indicators; evaluate the severity of nutritional symptoms according to the status indicators and the nutritional symptom indicators, and determine symptom management measures according to the evaluation results.

[0015] In a fourth aspect, the present application also provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented: Obtain the symptom information and diet conditions of tumor radiotherapy and chemotherapy patients, and calculate status indicators according to the diet conditions; construct a nutritional symptom assessment model based on the symptom information and the diet conditions, and determine nutritional symptom indicators; evaluate the severity of nutritional symptoms according to the status indicators and the nutritional symptom indicators, and determine symptom management measures according to the evaluation results.

[0016] Implementing the present application has the following beneficial effects: The present application provides a method and system for evaluating the nutritional symptoms of tumor radiotherapy and chemotherapy patients based on multi-dimensional data. By integrating the three dimensions of the patient's symptom information, dietary behavior, and psychological state, it breaks through the limitation of the traditional separation of nutritional assessment and symptom assessment, and solves the problem of one-sided evaluation of the nutritional status of radiotherapy and chemotherapy patients in the prior art; by introducing the time dimension analysis of dietary behavior and the biological rhythm theory, it can not only automatically calculate various evaluation indicators through the daily data of the monitoring system, reducing the workload of medical staff, but also automatically generate alarm information according to the evaluation results, realizing early identification and intervention of risks, and effectively improving the utilization efficiency of medical resources; by classifying patients into different nutritional symptom types and providing personalized management measures, it improves the pertinence and effectiveness of intervention, improves the nutritional status and quality of life of patients, and reduces the treatment interruption rate caused by nutritional problems. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the following will briefly introduce the drawings required for use in the description of the embodiments of the present application or related technologies. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other related drawings can also be obtained based on these drawings.

[0018] Figure 1 is an application environment diagram of the method for evaluating the nutritional symptoms of tumor radiotherapy and chemotherapy patients based on multi-dimensional data involved in the present application; Figure 2 is the overall flowchart of the method for evaluating the nutritional symptoms of tumor radiotherapy and chemotherapy patients based on multi-dimensional data involved in the present application; Figure 3 is the flowchart of the system for evaluating the nutritional symptoms of tumor radiotherapy and chemotherapy patients based on multi-dimensional data involved in the present application; Figure 4 is the structural schematic diagram of the computer device involved in the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0019] In order to make the objectives, technical solutions, and advantages of the present application clearer, the following further details the present application in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0020] The method for evaluating the nutritional symptoms of tumor radiotherapy and chemotherapy patients based on multi-dimensional data is widely applied in the field of medical health; for example, it can be applied to multiple departments such as the hospital nutrition department, oncology department, and radiotherapy department. When a patient undergoes radiotherapy and chemotherapy, the nutritional symptom evaluation system can provide accurate nutritional status evaluation and personalized intervention suggestions through comprehensive analysis of the patient's multi-dimensional information.

[0021] In the related art, traditional nutritional assessment methods are usually based on single-dimensional information, such as weight changes or biochemical indicators, lacking comprehensive consideration of patients' symptoms, dietary behaviors, and psychological states. At the same time, existing assessment methods often ignore the attenuation effect of time factors on symptoms and are difficult to reflect the dynamic change characteristics of patients' conditions.

[0022] Aiming at the problem that multi-dimensional data fusion and personalized assessment cannot be achieved in the related art, a nutritional symptom assessment method for tumor radiotherapy and chemotherapy patients based on multi-dimensional data is proposed. By obtaining patients' symptom information and dietary conditions, state indicators are calculated, and a nutritional symptom assessment model integrating symptom burden index, dietary intake deviation factor, and dietary diversity index is constructed. Based on the state indicators and nutritional symptom indicators, the severity of patients' nutritional symptoms is accurately classified, and targeted symptom management measures are provided.

[0023] The nutritional symptom assessment method for tumor radiotherapy and chemotherapy patients based on multi-dimensional data provided by the embodiments of the present application can be applied to an application environment as Figure 1 shown. Among them, the terminal 102 communicates with the server 104 through the network. The data storage system can store the data that the server 104 needs to process. The data storage system can be integrated on the server 104, or placed in the cloud or other network servers. The terminal calculates state indicators by collecting the symptom information and dietary conditions of tumor radiotherapy and chemotherapy patients; calculates the symptom burden index according to the symptom information, considering the time attenuation effect generated by the interval between the symptom occurrence time and the current assessment time; calculates the dietary diversity index according to the dietary conditions to quantify the balance of the patient's diet structure; constructs a nutritional symptom assessment model by combining the symptom burden index, dietary intake deviation factor, and dietary diversity index to determine the nutritional symptom indicators; compares the state indicators with the state threshold to obtain a state comparison result; compares the nutritional symptom indicators with the nutritional symptom threshold to obtain a nutritional symptom comparison result; determines the severity of the nutritional symptoms according to the state comparison result and the nutritional symptom comparison result, and determines corresponding symptom management measures based on the severity of the nutritional symptoms.

[0024] Among them, the terminal 102 can be, but is not limited to, various hospital information system terminals, doctor workstations, nurse workstations, ward monitoring devices, patient mobile applications, smartphones, tablets, wearable health monitoring devices, etc. The wearable health monitoring device can be a smart watch, a smart bracelet, a health monitoring patch, etc. The ward monitoring device can be a blood glucose monitor, a thermometer, a blood pressure monitor, an electrocardiogram monitor, etc. The server 104 can be an independent physical server, a server cluster or a distributed system composed of multiple physical servers, or a cloud server providing cloud computing services.

[0025] In an exemplary embodiment, asFigure 2 As shown, a nutritional symptom assessment method for tumor radiotherapy and chemotherapy patients based on multi-dimensional data is provided. Taking the terminal in Figure 1 as an example for illustration, it includes the following steps 100 to 300. Among them: Step 100: Obtain the symptom information and dietary situation of tumor radiotherapy and chemotherapy patients, and calculate the status index according to the dietary situation.

[0026] Step 110: Obtain the symptom information and dietary situation of tumor radiotherapy and chemotherapy patients.

[0027] In the embodiment of the present application, the symptom information and dietary situation of tumor radiotherapy and chemotherapy patients are collected by using a monitoring system. First, the patient registers an account on the monitoring system and fills in the necessary registration information. Secondly, after the patient logs in to the system, they need to enter personal basic information, including name, age, contact information, etc.; enter symptom information, including symptom name (such as nausea, vomiting, or stomatitis, etc.), occurrence time, duration, and severity (scored using a standardized 0-10 scale or CTCAE grading system), etc.; enter dietary situation, including daily diet content and diet time, etc. The symptom information can reflect the physical discomfort of the patient caused by radiotherapy and chemotherapy and help analyze the relationship between symptoms and psychological state, while the dietary situation directly reflects the change in the patient's appetite, and the time regularity has an impact on mental health.

[0028] In the embodiment of the present application, the symptom information includes the name, occurrence time, duration, and severity of the symptom.

[0029] In the embodiment of the present application, the dietary situation includes daily diet content and diet time.

[0030] Step 120: Calculate the status index according to the dietary situation.

[0031] In the embodiment of the present application, first, in order to quantify the fluctuation degree of dietary intake and reflect the appetite fluctuation in the short term, by comparing the patient's actual daily diet amount with the average diet amount in the past week, the patient's daily diet intake deviation factor is calculated based on the diet time. The specific formula is as follows: ; Among them, is the patient's daily diet intake deviation factor, which is used to measure the change in the patient's appetite; is the patient's actual daily diet amount; is the average diet amount in the past week; is a constant, which is used to prevent the denominator from being zero or the logarithm from being undefined, and is usually taken as 10 -6 .

[0032] Secondly, considering the fluctuations at different times of the three daily meals, the coefficient of variation is used to simulate the impact of rhythm disorders on psychology, and the square root transformation is used to make the state indicators smoother. The specific formula for the degree of variation in meal times is as follows: ; where, is the degree of variation in meal times, which is used to measure the regularity of the patient's meal times; is the standard deviation of meal times, which is used to describe the degree of fluctuation in meal times; is the average value of meal times within a day; is a constant used to prevent the denominator from being zero or the logarithm from being undefined, usually taking 10 -6 .

[0033] Thirdly, by calculating the consistency factor between the intake behavior and the time rhythm, the intake amount and the time rhythm of intake are coupled, and the circadian rhythm factor is introduced to further reflect the regulatory effect of the biological clock on appetite. The specific formula for the consistency factor between the intake behavior and the time rhythm is as follows: ; where, is the consistency factor between the intake behavior and the time rhythm, which is used to measure whether the patient's meal times conform to the circadian rhythm; is the actual daily intake amount of the patient; is the average value of patients of the same type within the normal meal time period; is a constant used to prevent the denominator from being zero or the logarithm from being undefined, usually taking 10 -6 ; is the main meal time of the day, in hours.

[0034] Finally, the deviation factor of the patient's daily diet intake and the degree of variation in meal times are coupled and modeled, and the exponential Sigmoid is introduced to adjust the consistency factor between the intake behavior and the time rhythm to obtain the state indicator. The specific formula for the state indicator is as follows: ; where, is the state indicator, with a value range of (0, 1); is the deviation factor of the patient's daily diet intake, which is used to measure the change in the patient's appetite; is the degree of variation in meal times, which is used to measure the regularity of the patient's meal times; is the consistency factor between the intake behavior and the time rhythm, which is used to measure whether the patient's meal times conform to the circadian rhythm; is the amplification factor used to control the influence intensity of the consistency factor between the intake behavior and the time rhythm , and the larger the value, the more sensitive the coupling effect.

[0035] Exemplarily, by monitoring the daily status indicators of a patient and judging the mental health level of the patient according to a threshold, it includes: When the status indicator is greater than 0.8 and less than 1, it indicates that the patient's mental state is stable and the eating behavior is normal.

[0036] When the status indicator is greater than 0.5 and less than or equal to 0.8, it indicates that the patient has mild abnormalities and needs regular monitoring.

[0037] When the status indicator is greater than 0 and less than or equal to 0.5, it indicates that the patient has high abnormalities and needs immediate intervention.

[0038] It should be noted that step 100 solves the technical problem in the prior art that the evaluation of the mental state of radiotherapy and chemotherapy patients relies too much on subjective questionnaires and lacks objective quantitative criteria by obtaining the symptom information and eating situation of tumor radiotherapy and chemotherapy patients and calculating the status indicator; in the prior art, medical institutions usually use general psychological scales or single appetite scores to evaluate the patient's state, ignoring the complex relationship between the unique physiological rhythm changes and eating behavior of radiotherapy and chemotherapy patients, resulting in one-sidedness and lag in the evaluation of the patient's state; this application breaks through the limitation of the traditional evaluation means' focus on a single dimension by considering three key variables: the deviation factor of dietary intake, the degree of variation of eating time, and the consistency factor between intake behavior and time rhythm, and realizes the refined monitoring of the patient's mental state; especially by introducing the consideration of time rhythm consistency, it captures the impact of the biological clock disorder of radiotherapy and chemotherapy patients on appetite and psychology, which is a key factor generally ignored in the prior art; in addition, this application can automatically calculate the standardized status indicator through daily eating behavior data without the patient filling out a cumbersome evaluation scale additionally, reducing the burden on the patient and the workload of medical staff, and at the same time realizing early warning of abnormal states by setting thresholds, providing a time window for clinical intervention and effectively preventing the deterioration cycle of the patient's state.

[0039] Step 200: Construct a nutritional symptom assessment model based on the symptom information and eating situation, and determine the nutritional symptom indicator.

[0040] In the embodiment of this application, it is necessary to construct a nutritional symptom assessment model for tumor radiotherapy and chemotherapy patients based on the symptom information and eating situation obtained in step S100, calculate the nutritional symptom indicator NSI, and provide personalized nutritional status evaluation and intervention suggestions for the patient; among them, the nutritional symptom assessment model integrates three key dimensions: the symptom burden index, the deviation factor of the patient's daily dietary intake, and the dietary diversity index, and realizes the comprehensive quantitative evaluation of the patient's nutritional status, including the following steps: Step S210: Calculate the symptom burden index based on the symptom information.

[0041] For the same symptom, since the interval between the symptom onset time and the current assessment time has a time decay effect on the symptom impact, a time weight factor is introduced. The specific formula is as follows: ; where is the time weight factor; is the current assessment time; is the onset time of the i-th symptom; is the maximum time span under investigation, usually set to 7 days.

[0042] Furthermore, by comprehensively considering each symptom name, onset time, duration, and severity, and integrating the symptom severity, duration, and time weight factor, the symptom burden index is calculated. The specific formula is as follows: ; where is the symptom burden index; is the symptom impact weight of the i-th symptom; is the severity of the i-th symptom; is the duration of the i-th symptom, in hours; is the time weight factor; is the total number of symptoms evaluated.

[0043] Exemplarily, the symptom impact weight can be determined by the expert group through the Delphi method. Common symptom impact weights include 0.8 for nausea or vomiting, 0.7 for stomatitis, 0.75 for diarrhea, 0.9 for loss of appetite, and 0.6 for taste change.

[0044] Step S220: Calculate the diet diversity index based on the diet situation.

[0045] It should be noted that for the diet diversity index, in this embodiment, according to the patient's daily diet content, the number of different food types ingested is counted according to the food classification standard of the Chinese Dietary Guidelines (cereals, potatoes, vegetables, fruits, livestock, poultry, meat, eggs, milk, legumes, oils, seasonings, etc.).

[0046] Furthermore, based on the number of different food types ingested, by introducing a non-linear transformation, the diet diversity index is calculated. The specific formula is as follows: ; where is the diet diversity index; is the number of different food types ingested; It is the recommended reference value for the daily food variety diversity, usually taking a value of 12 - 15.

[0047] Step S230: Construct a nutritional symptom assessment model by combining the symptom burden index, the patient's daily diet intake deviation factor, and the diet diversity index, and use the output result of the nutritional symptom assessment model as the nutritional symptom indicator.

[0048] It should be noted that for the patient's daily diet intake deviation factor, it is calculated using the processing method of the above step 120 to obtain the patient's daily diet intake deviation factor. 。

[0049] In the embodiment of the present application, to ensure comparability under different symptom numbers and severities, the symptom burden index is standardized, and the specific formula is as follows: ; Among them, is the standardized symptom burden index; is the symptom impact weight of the i-th symptom; is the severity of the i-th symptom; is the duration of the i-th symptom, with the unit of hour; is the total number of symptoms evaluated; is the average severity of the i-th symptom; is the average duration of the i-th symptom, with the unit of hour.

[0050] Furthermore, considering the standardized symptom burden index, the patient's daily diet intake deviation factor, and the diet diversity index comprehensively, a nutritional symptom assessment model is constructed, and the specific formula is as follows: ; Among them, is the nutritional symptom indicator, with a value range of (0, 1); is the normalization coefficient, with a value of 1.5; is the standardized symptom burden index; is the nutritional deviation sensitivity coefficient, with a value of 2.0; is the patient's daily diet intake deviation factor, used to measure the patient's appetite change; is the diet diversity index.

[0051] Exemplarily, according to the calculated nutritional symptom indicator, the patient's nutritional symptom status can be divided into several grades, including: When the nutritional symptom indicator is greater than 0.8 and less than 1.0, it indicates that the nutritional status is normal, the symptom control is ideal, and it is recommended to maintain the existing diet plan.

[0052] When the nutritional symptom index is greater than 0.6 and less than or equal to 0.8, it indicates mild nutritional risk, with slight symptom impact. It is recommended to appropriately adjust the diet structure.

[0053] When the nutritional symptom index is greater than 0.4 and less than or equal to 0.6, it indicates moderate nutritional risk, and nutritional intervention is required. It is recommended to adjust the diet under professional guidance.

[0054] When the nutritional symptom index is greater than 0.2 and less than or equal to 0.4, it indicates severe nutritional risk, and intensive nutritional support is required. It may be necessary to supplement nutrients or take oral nutritional supplements.

[0055] When the nutritional symptom index is greater than 0 and less than or equal to 0.2, it indicates extreme nutritional risk. It is recommended to immediately conduct professional nutritional intervention.

[0056] It should be noted that step 200 solves the technical problems in the prior art of single method for evaluating the nutritional status of tumor radiotherapy and chemotherapy patients and lack of analysis of the correlation between symptoms and nutrition by constructing a nutritional symptom assessment model and determining the nutritional symptom index; traditional nutritional assessment methods, such as the patient subjective global assessment scale and nutritional risk screening, although widely used in clinical practice, mainly focus on anthropometric indicators and general symptom scores, fail to fully consider the time - dynamic impact of radiotherapy - and - chemotherapy - specific symptoms on nutritional intake, and the assessment process is cumbersome, subjective, and poor in timeliness; this application proposes a nutritional symptom assessment model based on three dimensions of the symptom burden index, diet intake deviation factor, and diet diversity index, realizing multi - dimensional assessment of the nutritional status of radiotherapy and chemotherapy patients; especially by introducing a time - weight factor to perform time - decay processing on the impact of symptoms, it solves the problem of insufficient consideration of symptom duration and timeliness in existing assessment methods, making the assessment results more in line with clinical reality; at the same time, through standardization processing, it solves the problem of incomparability of assessment results caused by inconsistent numbers and severities of symptoms among different patients, enhancing the universality and popularizability of the assessment system; in addition, incorporating the diet diversity index into the assessment system fills the gap in the existing nutritional assessment of insufficient attention to the food type structure, providing a new perspective for comprehensively evaluating the quality of patients' nutritional intake; compared with the prior art, this application not only integrates the two originally separate links of symptom assessment and nutritional assessment, but also establishes a quantitative relationship between the two through a mathematical model, enabling the assessment results to reflect the actual impact degree of symptoms on the nutritional status and providing more accurate guidance for clinical intervention; in practical applications, this application not only simplifies the operation process, improves the assessment efficiency, but also enables medical staff to quickly judge the nutritional risk level of patients through clear grading criteria.

[0057] Step 300: Evaluate the severity of nutritional symptoms based on the status indicators and nutritional symptom indicators, and determine the symptom management measures according to the evaluation results.

[0058] It should be noted that based on the status indicators and nutritional symptom indicators, this step will evaluate the severity of nutritional symptoms in cancer patients undergoing radiotherapy and chemotherapy, and then provide evidence-based symptom management measures. Different levels of alarm information will be automatically sent to medical staff according to the severity of nutritional symptoms, and cancer patients undergoing radiotherapy and chemotherapy can also view the alarm information by themselves.

[0059] Step 310: Compare the status indicators with the status thresholds to obtain the status comparison result.

[0060] It should be noted that by comparing the status indicators of the patient obtained in Step 100 with the preset status thresholds, the degree of abnormal psychological state of the patient can be evaluated.

[0061] In the embodiments of the present application, two status thresholds can be set and as the reference standards for evaluating the degree of abnormality of the status indicators, which can reflect the abnormal psychological states of different degrees of cancer patients undergoing radiotherapy and chemotherapy. Among them , , by comparing the status indicator with the status thresholds and , the psychological state can be classified into levels to obtain the status comparison result, including: When the status indicator is greater than the status threshold , it is determined that the cancer patient undergoing radiotherapy and chemotherapy is in a normal state.

[0062] When the status indicator is greater than the status threshold and less than or equal to the status threshold , it is determined that the cancer patient undergoing radiotherapy and chemotherapy is in a mild abnormal state.

[0063] When the status indicator is less than or equal to the status threshold , it is determined that the cancer patient undergoing radiotherapy and chemotherapy is in a severe abnormal state.

[0064] It should be noted that the status thresholds and can be determined by using a multi-stage mixed analysis method; first, collect a large amount of historical data on the dietary behaviors and psychological states of cancer patients undergoing radiotherapy and chemotherapy, and remove outliers and incomplete records through data preprocessing techniques to ensure data quality; second, apply the quantile analysis method to process the distribution characteristics of the status indicators, and initially determine the status thresholds and The numerical range; to further optimize the threshold, the research uses a density-based spatial clustering algorithm to identify and remove outliers in the data, and then classifies the patient status through the K-means clustering algorithm. The silhouette coefficient is combined to evaluate the clustering quality, and the optimal threshold segmentation point is determined; in particular, considering the periodic change characteristics of the status of radiotherapy and chemotherapy patients, the fluctuation law of the status indicators is analyzed through time series decomposition technology, and the threshold is adjusted periodically for treatment to make it more in line with clinical practice.

[0065] Step 320: Compare the nutritional symptom index with the nutritional symptom threshold to obtain the nutritional symptom comparison result.

[0066] In the embodiment of the present application, two nutritional symptom thresholds can also be set and as the reference standard for evaluating the abnormal degree of the nutritional symptom index, where , , by comparing the nutritional symptom index with the nutritional symptom thresholds and , the nutritional status can be classified into grades to obtain the nutritional symptom comparison result, including: When the nutritional symptom index is greater than the nutritional symptom threshold , it is determined that the tumor radiotherapy and chemotherapy patient is in a normal state.

[0067] When the nutritional symptom index is greater than the nutritional symptom threshold and less than or equal to the nutritional symptom threshold , it is determined that the tumor radiotherapy and chemotherapy patient is in a mild abnormal state.

[0068] When the nutritional symptom index is less than or equal to the nutritional symptom threshold , it is determined that the tumor radiotherapy and chemotherapy patient is in a severe abnormal state.

[0069] It should be noted that the determination of the nutritional symptom thresholds and can also be based on a multi-stage hybrid analysis method; first, a multi-center clinical database is constructed, collecting the symptom information, diet situation and relevant prognosis data of patients, and an effective analysis set is formed after strict data cleaning. Subsequently, the quantile analysis of the nutritional symptom index is carried out, and in combination with the consensus of nutrition experts, and The value range; secondly, an adaptive clustering algorithm is used to optimize the threshold determination process. First, the density-based spatial clustering algorithm is used to eliminate abnormal sample points, and then the K-means algorithm is applied to hierarchically cluster the nutritional symptom indicators. The classification effect under different threshold settings is evaluated by calculating the silhouette coefficient. Considering the different effects of chemotherapy and radiotherapy regimens and disease stages on the nutritional status of patients, the study also uses time series decomposition technology to analyze the variation law of nutritional symptom indicators with the treatment process, and makes treatment-stage adjustments to the preliminarily determined threshold to ensure the scientificity and adaptability of the nutritional symptom threshold setting, and can accurately trigger different levels of nutritional intervention measures.

[0070] Step 330: Determine the severity of nutritional symptoms according to the status comparison result and the nutritional symptom comparison result.

[0071] In the embodiment of the present application, the severity of nutritional symptoms can be divided into four cases according to the status comparison result and the nutritional symptom comparison result, including: When one of the status comparison result and the nutritional symptom comparison result is in a mild abnormal state, and the other is in a mild abnormal state or a normal state, it is determined that the severity of nutritional symptoms is of the treatment side effect type, indicating that the patient may be experiencing chemotherapy and radiotherapy side effects, such as nausea, vomiting or stomatitis, etc., but has not reached a severe level.

[0072] When the status comparison result is in a severe abnormal state, and the nutritional symptom comparison result is in a mild abnormal state or a normal state, or the status comparison result is in a mild abnormal state, and the nutritional symptom comparison result is in a normal state, it is determined that the severity of nutritional symptoms is of the anorexia type, indicating that the patient's appetite decline is mainly caused by psychological factors, which in turn affects nutritional intake.

[0073] When the nutritional symptom comparison result is in a severe abnormal state, and the status comparison result is in a mild abnormal state or a normal state, or the nutritional symptom comparison result is in a mild abnormal state, and the status comparison result is in a normal state, it is determined that the severity of nutritional symptoms is of the digestive and absorption disorder type, indicating that the patient mainly has problems with digestive tract function, resulting in difficulty in normal absorption and utilization of nutrients.

[0074] When both the status comparison result and the nutritional symptom comparison result are in a severe abnormal state, it is determined that the severity of nutritional symptoms is of the multi-factor composite type, indicating that the patient faces the superposition effect of multiple problems, including severe psychological burden and nutritional disorders.

[0075] Step 340: Based on the severity of nutritional symptoms, determine the symptom management measures as one or more of pipeline care, diet guidance, exercise advice, and psychological support.

[0076] In the embodiment of the present application, determining the symptom management measures according to the severity of nutritional symptoms includes: When the severity of nutritional symptoms is of the treatment side - effect type, send alerts on dietary guidance, psychological support, and exercise suggestions to the medical staff side, provide dietary strategies to reduce the side - effects of radiotherapy and chemotherapy, and help patients cope with the discomfort during the treatment process and maintain their physical condition.

[0077] When the severity of nutritional symptoms is of the loss of appetite type, send alerts on psychological support, dietary guidance, and exercise suggestions to the medical staff side, help patients relieve psychological stress, improve appetite, enhance the eating experience, and promote appetite by increasing physical exertion.

[0078] When the severity of nutritional symptoms is of the digestion and absorption disorder type, send alerts on dietary guidance to the medical staff side, and provide food choices for easy digestion and high absorption.

[0079] When the severity of nutritional symptoms is of the multi - factor complex type, send alerts on tube care to the medical staff side as an important means of nutritional support.

[0080] In an optional embodiment, determining symptom management measures according to the severity of nutritional symptoms can also be adjusted in combination with the patient's personal basic information, such as age, gender, weight, etc., to provide more appropriate intervention suggestions; for example, for elderly patients, exercise suggestions can be reduced or not given, while dietary guidance and psychological support are strengthened; for patients with severely insufficient weight, exercise suggestions can be not given, and tube care is given priority; for patients with underlying diseases such as diabetes and hypertension, some dietary guidance that may exacerbate the primary disease can be not given; for patients with poor mental state assessment, psychological support can be strengthened while other suggestions are reduced; by simply combining the patient's basic information, it is possible to more specifically determine whether symptom management measures such as psychological support, dietary guidance, exercise suggestions, or tube care are needed.

[0081] It should be noted that step 300 solves the technical problem in the prior art that the formulation of the nutritional symptom management plan for radiotherapy and chemotherapy patients lacks personalization and precision by evaluating the severity of nutritional symptoms and determining symptom management measures; traditional nutritional intervention plans often adopt a unified standard process, which is difficult to provide differentiated solutions for the specific problems of different patients, resulting in limited intervention effects and serious waste of medical resources; while this application proposes a symptom classification method based on the cross-analysis of status indicators and nutritional symptom indicators, dividing the severity of patients' nutritional symptoms into four types: treatment side effect type, loss of appetite type, digestion and absorption disorder type, and multi-factor complex type, realizing the precise positioning of patients' problems; this classification method is different from the single-dimensional grading based only on the severity of symptoms in the prior art, but by analyzing the interaction between the psychological state and the nutritional state, it identifies the root cause behind the symptoms, providing a scientific basis for targeted intervention; especially the distinction between the loss of appetite type and the digestion and absorption disorder type solves the problem of difficult selection of intervention measures in clinical practice due to similar symptom manifestations but different causes; at the same time, by matching different types of nutritional symptoms with specific management measures such as pipeline care, diet guidance, exercise advice, and psychological support, a complete hierarchical diagnosis and treatment plan is formed, enabling medical staff to directly determine the intervention strategy based on the evaluation results, improving the efficiency and accuracy of clinical decision-making; compared with the prior art, this application not only improves the pertinence and effectiveness of the intervention, but also reduces the medical cost by optimizing the allocation of medical resources. At the same time, by early identifying and intervening in high-risk patients, the incidence of malnutrition and treatment interruption is effectively reduced, laying a foundation for improving the overall efficacy of radiotherapy and chemotherapy.

[0082] It should be understood that although the steps in the flowcharts involved in the above-described embodiments are sequentially shown according to the indications of the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless there is a clear description in this article, the execution of these steps has no strict order limit, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-described embodiments may include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same moment, but can be executed at different moments. The execution order of these steps or stages is not necessarily sequential, but can be executed alternately or in turn with at least a part of other steps or steps or stages in other steps.

[0083] Based on the same inventive concept, an embodiment of the present application further provides a nutritional symptom assessment system for tumor radiotherapy and chemotherapy patients based on multi-dimensional data. The implementation solutions provided by this system to solve problems are similar to the implementation solutions described in the above method. Therefore, the specific limitations in one or more embodiments of the grounding wire clamp positioning system using satellite positioning and landmark calibration provided below can refer to the limitations on the nutritional symptom assessment method for tumor radiotherapy and chemotherapy patients based on multi-dimensional data in the above text, and will not be elaborated here.

[0084] In an exemplary embodiment, as Figure 3 shown, a nutritional symptom assessment system for tumor radiotherapy and chemotherapy patients based on multi-dimensional data is provided, including: A patient symptom and diet collection module, configured to obtain the symptom information and diet situation of tumor radiotherapy and chemotherapy patients, and calculate status indicators according to the diet situation; A nutritional symptom index module, configured to construct a nutritional symptom assessment model according to the symptom information and diet situation, and determine nutritional symptom indicators; A nutritional symptom assessment module, configured to evaluate the severity of nutritional symptoms according to the status indicators and nutritional symptom indicators, and determine symptom management measures according to the evaluation results.

[0085] The above-mentioned nutritional symptom assessment system for tumor radiotherapy and chemotherapy patients based on multi-dimensional data collects the symptom information and diet situation of patients to construct a two-dimensional assessment system; first, it calculates status indicators reflecting the psychological state based on the diet intake deviation factor, diet time variation coefficient, and rhythm consistency factor; secondly, it constructs nutritional symptom indicators through the symptom burden index and diet diversity index; the system grades the psychological state by comparing the status indicators with a preset threshold, and simultaneously grades the nutritional risk by comparing the nutritional symptom indicators with the nutritional symptom threshold, and finally determines four types of nutritional symptoms, and correspondingly outputs a composite intervention plan including diet guidance, psychological support, exercise advice, or pipeline care; compared with the traditional single-dimensional nutritional assessment method, this system realizes the synchronous quantitative assessment of psychological state and nutritional risk through symptom-diet coupling modeling and dual-index threshold determination, improving the accuracy and timeliness of nutritional intervention for radiotherapy and chemotherapy patients.

[0086] Each module in the above-mentioned nutritional symptom assessment system for tumor radiotherapy and chemotherapy patients based on multi-dimensional data can be implemented in whole or in part by software, hardware, and their combinations. The above-mentioned modules can be embedded in the processor of a computer device in hardware form or be independent of it, or be stored in the memory of the computer device in software form, so that the processor can call and execute the operations corresponding to the above-mentioned modules.

[0087] In an exemplary embodiment, a computer device is provided. This computer device can be a terminal, and its internal structure diagram can be as Figure 4As shown in the figure. The computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit, and an input device. Among them, the processor, the memory, and the input / output interface are connected through a system bus, and the communication interface, the display unit, and the input device are connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and external devices. The communication interface of the computer device is used to communicate with external terminals in a wired or wireless manner, and the wireless manner can be implemented through WIFI, a mobile cellular network, near field communication (NFC), or other technologies. When the computer program is executed by the processor, it implements a method for evaluating the nutritional symptoms of tumor radiotherapy and chemotherapy patients based on multi-dimensional data. The display unit of the computer device is used to form a visually visible picture, which can be a display screen, a projection device, or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen. The input device of the computer device can be a touch layer covering the display screen, or a button, a trackball, or a touchpad provided on the outer shell of the computer device, or an external keyboard, touchpad, or mouse, etc.

[0088] Those skilled in the art can understand that Figure 4 the structure shown in the figure is only a block diagram of some structures related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine some components, or have different component arrangements.

[0089] In one embodiment, a computer device is further provided, including a memory and a processor. A computer program is stored in the memory, and when the processor executes the computer program, the steps in the above method embodiments are implemented.

[0090] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by the processor, the steps in the above method embodiments are implemented.

[0091] In one embodiment, a computer program product is provided, including a computer program. When the computer program is executed by the processor, the steps in the above method embodiments are implemented.

[0092] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) involved in this application are all information and data that have been authorized by the user or fully authorized by all parties, and the collection, use, and processing of relevant data need to comply with relevant regulations.

[0093] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to a memory, database, or other medium used in the embodiments provided in this application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc. The databases involved in the embodiments provided in this application can include at least one of relational databases and non-relational databases. Non-relational databases can include distributed databases based on blockchain, etc., without limitation. The processors involved in the embodiments provided in this application can be general-purpose processors, central processors, graphics processors, digital signal processors, programmable logic devices, data processing logics based on quantum computing, artificial intelligence (AI) processors, etc., without limitation.

[0094] The technical features of the above embodiments can be combined arbitrarily. For the sake of brevity of description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope recorded in this application.

[0095] The above-described embodiments merely represent several implementation manners of this application. The description is relatively specific and detailed, but it should not be construed as a limitation on the patent scope of this application. It should be noted that for those of ordinary skill in the art, without departing from the concept of this application, several modifications and improvements can still be made, and these all belong to the protection scope of this application. Therefore, the protection scope of this application shall be subject to the appended claims.

Claims

1. A method for evaluating the nutritional symptoms of cancer patients undergoing radiotherapy and chemotherapy based on multi-dimensional data, characterized in that, Including: Obtain the symptom information and dietary situation of tumor radiotherapy and chemotherapy patients, and calculate the status index according to the dietary situation; Construct a nutritional symptom assessment model based on the symptom information and the dietary situation, and determine the nutritional symptom index; Evaluate the severity of nutritional symptoms based on the status index and the nutritional symptom index, and determine the symptom management measures according to the evaluation results.

2. The nutritional symptom assessment method for tumor radiotherapy and chemotherapy patients based on multi-dimensional data according to claim 1, characterized in that: Calculating the status index according to the dietary situation includes: Calculate the daily dietary intake deviation factor, the variation degree of dietary time, and the consistency factor between the intake behavior and the time rhythm of the patient according to the dietary situation; Couple and model the daily dietary intake deviation factor, the variation degree of dietary time, and the consistency factor between the intake behavior and the time rhythm of the patient to obtain the status index.

3. The nutritional symptom assessment method for tumor radiotherapy and chemotherapy patients based on multi-dimensional data according to claim 2, wherein: Constructing a nutritional symptom assessment model based on the symptom information and the dietary situation includes: Calculate the symptom burden index based on the symptom information; Calculate the dietary diversity index based on the dietary situation; Construct a nutritional symptom assessment model by combining the symptom burden index, the daily dietary intake deviation factor of the patient, and the dietary diversity index, and use the output result of the nutritional symptom assessment model as the nutritional symptom index.

4. The nutritional symptom assessment method for tumor radiotherapy and chemotherapy patients based on multi-dimensional data according to claim 3, wherein: Calculating the symptom burden index based on the symptom information includes: Determine the time weight factor based on the interval between the symptom occurrence time and the current evaluation time; Use the Delphi method to adjust the symptom impact weight of the severity of each symptom; Calculate the symptom burden index using the time weight factor, the symptom impact weight, and the symptom information.

5. The nutritional symptom assessment method for tumor radiotherapy and chemotherapy patients based on multi-dimensional data according to claim 4, wherein: Calculating the dietary diversity index based on the dietary situation includes: Count the number of different food types ingested according to the dietary situation; Compare the number of different food types with the recommended reference value of daily food type diversity; Perform a non-linear transformation on the comparison result to obtain the dietary diversity index.

6. The nutritional symptom assessment method for tumor radiotherapy and chemotherapy patients based on multi-dimensional data according to claim 5, characterized in that: Evaluating the severity of nutritional symptoms based on the status index and the nutritional symptom index, and determining the symptom management measures according to the evaluation results includes: Compare the status index with the status threshold to obtain the status comparison result; Compare the nutritional symptom index with the nutritional symptom threshold to obtain the nutritional symptom comparison result; Evaluate based on the status comparison result and the nutritional symptom comparison result to obtain the severity of nutritional symptoms; Determine the symptom management measures based on the severity of the nutritional symptoms.

7. The method for evaluating nutritional symptoms of tumor radiotherapy and chemotherapy patients based on multi-dimensional data according to claim 6, characterized in that: The symptom management measures are one or more of pipeline care, dietary guidance, exercise advice, and psychological support.

8. A nutritional symptom assessment system for tumor radiotherapy and chemotherapy patients based on multi-dimensional data, adopting the nutritional symptom assessment method for tumor radiotherapy and chemotherapy patients based on multi-dimensional data as described in any one of claims 1 to 7, characterized in that: A patient symptom and diet collection module, which is used to obtain the symptom information and dietary situation of tumor radiotherapy and chemotherapy patients, and calculate the status index according to the dietary situation; A nutritional symptom index module, which is used to construct a nutritional symptom assessment model based on the symptom information and the dietary situation, and determine the nutritional symptom index; A nutritional symptom assessment module, which is used to evaluate the severity of nutritional symptoms based on the status index and the nutritional symptom index, and determine the symptom management measures according to the evaluation results.

9. A computer device, comprising a memory and a processor, the memory storing a computer program, characterized in that, When the processor executes the computer program, the steps of the method for evaluating the nutritional symptoms of tumor radiotherapy and chemotherapy patients based on multi-dimensional data according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, the steps of the method for evaluating the nutritional symptoms of tumor radiotherapy and chemotherapy patients based on multi-dimensional data according to any one of claims 1 to 7 are implemented.

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