Nutritional symptom assessment method and system for tumor radiotherapy and chemotherapy patients based on multidimensional data

Abstract

The present application discloses a method and system for evaluating nutritional symptoms of patients undergoing tumor radiotherapy and chemotherapy based on multidimensional data, which relates to the field of medical artificial intelligence technology, including: obtaining symptom information and dietary conditions of patients undergoing tumor radiotherapy and chemotherapy, and calculating status indicators based on the dietary conditions; constructing a nutritional symptom evaluation model based on the symptom information and the dietary conditions, and determining nutritional symptom indicators; evaluating the severity of nutritional symptoms based on the status indicators and the nutritional symptom indicators, and determining symptom management measures based on the evaluation results. The present application breaks through the limitations of the traditional separation of nutritional assessment and symptom assessment by integrating the three dimensions of the patient's symptom information, dietary behavior, and psychological state, and solves the problem of one-sided evaluation of the nutritional status of patients undergoing radiotherapy and chemotherapy; by classifying patients into different nutritional symptom types and providing personalized management measures, it improves the pertinence and effectiveness of intervention and reduces the treatment interruption rate due to nutritional problems.

Description

Technical Field

[0001] The present application relates to the field of medical artificial intelligence technology, and in particular to a method and system for evaluating nutritional symptoms in patients undergoing radiotherapy and chemotherapy for tumors based on multidimensional data. Background Art

[0002] With the continuous development of tumor radiotherapy and chemotherapy technology, the survival time of patients has been significantly extended. However, the 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 in cancer patients has undergone a transformation from single indicator assessment to comprehensive assessment. Early assessment methods mainly relied on biochemical indicators such as weight change and serum albumin. Subsequently, a variety of nutritional assessment scales were developed, such as patient self-assessment nutritional status scoring tools, nutritional risk screening and other standardized tools. At the same time, with the advancement of digital medical technology, electronic patient diaries, wearable devices and other means have gradually been used in clinical practice to collect patient symptoms and dietary behavior data, providing a rich data basis for the accurate assessment of nutritional symptoms. At present, the concept of modern nutritional symptom assessment has developed from simple quantification of symptom severity to comprehensive consideration of symptom clusters, dietary behavior characteristics, time rhythms and individual differences among patients.

[0003] However, the existing nutritional symptom assessment technology for cancer patients undergoing radiotherapy and chemotherapy still has many shortcomings. First, 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. Second, in terms of data processing, existing technologies lack sufficient consideration of the time dimension, fail to incorporate the interval between the time of symptom onset and the assessment time point into the assessment framework, and ignore the changing characteristics of symptoms. Third, there is a lack of differentiated treatment of the impact weights of different symptoms, and usually a simple accumulation or average calculation method is used, which fails to reflect the differences in the impact of various symptoms on nutritional status. At the level of dietary behavior assessment, existing technologies focus too much on total calorie intake and ignore key factors such as dietary structure diversity or regularity of eating time, and fail to establish an effective dietary deviation quantification model. In addition, existing assessment results generally lack targeted follow-up intervention guidance, and cannot automatically match corresponding symptom management measures according to the assessment results. These shortcomings seriously restrict cancer patients undergoing radiotherapy and chemotherapy from obtaining accurate and personalized nutritional symptom management plans. Summary of the Invention

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

[0005] Therefore, the present application provides a method and system for evaluating nutritional symptoms in patients undergoing tumor radiotherapy and chemotherapy based on multidimensional data, which can solve the problems mentioned in the background technology.

[0006] To solve the above technical problems, this application provides the following technical solutions:

[0007] In the first aspect, the present application provides a method for evaluating nutritional symptoms in patients undergoing tumor radiotherapy and chemotherapy based on multidimensional data, including: obtaining symptom information and dietary conditions of patients undergoing tumor radiotherapy and chemotherapy, and calculating status indicators based on the dietary conditions; constructing a nutritional symptom evaluation model based on the symptom information and the dietary conditions, and determining nutritional symptom indicators; evaluating the severity of nutritional symptoms based on the status indicators and the nutritional symptom indicators, and determining symptom management measures based on the evaluation results.

[0008] Preferably, the status index is calculated according to the dietary situation, including: calculating the patient's daily dietary intake deviation factor, the degree of variation of dietary time, and the consistency factor of intake behavior and time rhythm according to the dietary situation; coupling modeling the patient's daily dietary intake deviation factor, the degree of variation of dietary time, and the consistency factor of intake behavior and time rhythm to obtain the status index.

[0009] Preferably, a nutritional symptom assessment model is constructed based on the symptom information and the dietary situation, including: calculating a symptom burden index based on the symptom information; calculating a dietary diversity index based on the dietary situation; constructing a nutritional symptom assessment model in combination with the symptom burden index, the patient's daily dietary intake deviation factor and the dietary diversity index, and using the output result of the nutritional symptom assessment model as a nutritional symptom indicator.

[0010] Preferably, the symptom burden index is calculated based on the symptom information, including: determining a time weight factor based on the interval between the symptom occurrence time and the current assessment time; adjusting the symptom impact weight of the severity of each symptom using the Delphi method; and calculating the symptom burden index using the time weight factor, the symptom impact weight and the symptom information.

[0011] Preferably, the dietary diversity index is calculated based on the dietary situation, including: counting the number of different food types consumed according to the dietary situation; comparing the number of different food types with the recommended daily food type diversity reference value; and performing a nonlinear transformation on the comparison result to obtain the dietary diversity index.

[0012] Preferably, the severity of nutritional symptoms is evaluated based on the status index and the nutritional symptom index, and symptom management measures are determined based on the evaluation results, including: comparing the status index with the status threshold to obtain a status comparison result; comparing the nutritional symptom index with the nutritional symptom threshold to obtain a nutritional symptom comparison result; evaluating based on the status comparison result and the nutritional symptom comparison result to obtain the severity of nutritional symptoms; and determining symptom management measures based on the severity of the nutritional symptoms.

[0013] Preferably, the symptom management measures are one or more of duct care, dietary guidance, exercise advice and psychological support.

[0014] Secondly, the present application also provides a nutritional symptom assessment system for tumor radiotherapy and chemotherapy patients based on multidimensional data, including: a patient symptom and diet collection module, which is used to obtain symptom information and dietary conditions of tumor radiotherapy and chemotherapy patients, and calculate status indicators based on dietary conditions; a nutritional symptom indicator module, which is used to construct a nutritional symptom assessment model based on symptom information and dietary conditions, and determine nutritional symptom indicators; a nutritional symptom assessment module, which is used to assess the severity of nutritional symptoms based on status indicators and nutritional symptom indicators, and determine symptom management measures based on the assessment results.

[0015] In a third aspect, the present application further provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0016] Obtain symptom information and dietary conditions of patients undergoing tumor radiotherapy and chemotherapy, and calculate status indicators based on the dietary conditions; construct a nutritional symptom assessment model based on the symptom information and the dietary conditions, and determine nutritional symptom indicators; assess the severity of nutritional symptoms based on the status indicators and the nutritional symptom indicators, and determine symptom management measures based on the assessment results.

[0017] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the following steps are implemented:

[0018] Obtain symptom information and dietary conditions of patients undergoing tumor radiotherapy and chemotherapy, and calculate status indicators based on the dietary conditions; construct a nutritional symptom assessment model based on the symptom information and the dietary conditions, and determine nutritional symptom indicators; assess the severity of nutritional symptoms based on the status indicators and the nutritional symptom indicators, and determine symptom management measures based on the assessment results.

[0019] The implementation of this application has the following beneficial effects:

[0020] The present application provides a method and system for evaluating nutritional symptoms in patients undergoing radiotherapy and chemotherapy for tumors based on multidimensional 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 nutritional status assessment of patients undergoing radiotherapy and chemotherapy in the existing technology; by introducing the time dimension analysis of dietary behavior and the theory of biological rhythm, it can not only automatically calculate various evaluation indicators through the daily data of the monitoring system, thereby reducing the workload of medical staff, but also automatically generate alarm information according to the evaluation results, realize early identification and intervention of risks, and effectively improve 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 due to nutritional problems. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the following briefly introduces the drawings required for use in the embodiments of the present application or related technical descriptions. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying any creative work.

[0022] Figure 1 This is an application environment diagram of the method for evaluating nutritional symptoms in patients with tumor radiotherapy and chemotherapy based on multidimensional data involved in this application;

[0023] Figure 2 This is an overall flow chart of the method for evaluating nutritional symptoms in patients undergoing radiotherapy and chemotherapy for tumors based on multidimensional data involved in this application;

[0024] Figure 3 This is a flowchart of the nutritional symptom assessment system for tumor radiotherapy and chemotherapy patients based on multidimensional data involved in this application;

[0025] Figure 4 It is a structural diagram of the computer equipment involved in this application. DETAILED DESCRIPTION

[0026] In order to make the purpose, technical solutions and advantages of this application more clear, the following further describes this application in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0027] The nutritional symptom assessment method for tumor patients undergoing radiotherapy and chemotherapy based on multidimensional data is widely used in the field of medical health; for example, it can be applied to multiple departments of a hospital, such as the nutrition department, oncology department, and radiotherapy department. When a patient receives radiotherapy and chemotherapy, the nutritional symptom assessment system can provide accurate nutritional status assessment and personalized intervention recommendations by comprehensively analyzing the patient's multidimensional information.

[0028] In related technologies, traditional nutritional assessment methods are usually based on single-dimensional information, such as weight changes or biochemical indicators, and lack comprehensive consideration of patients' symptoms, eating behaviors and psychological states; at the same time, existing assessment methods often ignore the attenuation effect of time factors on symptoms, and it is difficult to reflect the dynamic changes in the patient's condition.

[0029] In response to the problem that related technologies cannot achieve multidimensional data fusion and personalized assessment, a nutritional symptom assessment method for tumor patients undergoing radiotherapy and chemotherapy based on multidimensional data is proposed. By obtaining the patient's symptom information and dietary conditions to calculate the status index, a nutritional symptom assessment model is constructed that integrates the symptom burden index, dietary intake deviation factor and dietary diversity index. Based on the status index and nutritional symptom index, the severity of the patient's nutritional symptoms is accurately classified, and targeted symptom management measures are provided.

[0030] The nutritional symptom assessment method for tumor radiotherapy and chemotherapy patients based on multidimensional data provided in the embodiment of the present application can be applied to Figure 1 In the application environment 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 it can be placed on the cloud or other network servers. The terminal calculates the status index by collecting the symptom information and dietary conditions of patients undergoing tumor radiotherapy and chemotherapy; calculates the symptom burden index based on the symptom information, taking into account the time attenuation effect caused by the interval between the symptom onset time and the current evaluation time; calculates the dietary diversity index based on the dietary conditions to quantify the balance of the patient's dietary structure; constructs a nutritional symptom assessment model based on the symptom burden index, dietary intake deviation factor and dietary diversity index to determine the nutritional symptom index; compares the status index with the status threshold to obtain a status comparison result; compares the nutritional symptom index with the nutritional symptom threshold to obtain a nutritional symptom comparison result; determines the severity of the nutritional symptoms based on the status comparison result and the nutritional symptom comparison result, and determines the corresponding symptom management measures based on the severity of the nutritional symptoms.

[0031] Terminal 102 may include, but is not limited to, various hospital information system terminals, doctor workstations, nurse workstations, ward monitoring devices, patient mobile applications, smartphones, tablet computers, wearable health monitoring devices, etc. Wearable health monitoring devices may include smart watches, smart bracelets, health monitoring patches, etc. Ward monitoring devices may include blood glucose monitors, temperature monitors, blood pressure monitors, electrocardiogram monitors, etc. Server 104 may be an independent physical server, a server cluster or distributed system consisting of multiple physical servers, or a cloud server providing cloud computing services.

[0032] In an exemplary embodiment, Figure 2 As shown in the figure, a method for evaluating nutritional symptoms in patients undergoing chemotherapy and radiotherapy based on multidimensional data is provided. Figure 1 The terminal in FIG is taken as an example to illustrate the method, including the following steps 100 to 300. Among them:

[0033] Step 100: Obtain symptom information and dietary status of a patient undergoing radiotherapy and chemotherapy for a tumor, and calculate a status index based on the dietary status.

[0034] Step 110: Obtain symptom information and dietary conditions of patients undergoing radiotherapy and chemotherapy for tumors.

[0035] In an embodiment of the present application, a monitoring system is used to collect symptom information and dietary habits of patients undergoing tumor radiotherapy and chemotherapy. First, the patient is asked to register an account on the monitoring system and fill in the necessary registration information. Second, after logging into the system, the patient needs to enter basic personal information, including name, age, and contact information; enter symptom information, including symptom name (such as nausea, vomiting, or stomatitis), onset time, duration, and severity (using a standardized 0-10 scale or CTCAE grading system); and enter dietary habits, including daily diet content and meal times. Symptom information can reflect the patient's physical discomfort caused by radiotherapy and chemotherapy and help analyze the relationship between symptoms and psychological state. Dietary habits directly reflect changes in the patient's appetite, and temporal regularity has an impact on psychological health.

[0036] In an embodiment of the present application, the symptom information includes the name, occurrence time, duration, and severity of the symptom.

[0037] In the embodiment of the present application, the dietary status includes daily dietary content and dietary time.

[0038] Step 120: Calculate a status index based on the diet.

[0039] In the examples of the present application, first, in order to quantify the degree of fluctuation in dietary intake and reflect the fluctuation in appetite in the short term, the patient's actual daily dietary intake was compared with the average dietary intake in the past week, and the patient's daily dietary intake deviation factor was calculated based on the dietary time. The specific formula is as follows:

[0040] ;

[0041] in, The patient's daily dietary intake deviation factor is used to measure the patient's appetite changes; The actual daily diet of the patient; is the average amount of food consumed in the past week; A constant used to prevent the denominator from being zero or the logarithm from being undefined, usually 10 -6 .

[0042] Secondly, considering the fluctuations of the three meals at different times of the day, the coefficient of variation is used to simulate the psychological impact of rhythm disorders, and the square root transformation is used to make the state indicators smoother. The specific formula for the degree of variation of meal time is as follows:

[0043] ;

[0044] in, The variability of eating time is used to measure the regularity of patients' eating time; is the standard deviation of eating time, which is used to describe the degree of fluctuation in eating time; The average time of eating in a day; A constant used to prevent the denominator from being zero or the logarithm from being undefined, usually 10 -6 .

[0045] Thirdly, by calculating the consistency factor between intake behavior and circadian rhythm, the intake amount and intake time rhythm are coupled, and the circadian rhythm factor is introduced to reflect the regulatory effect of the biological clock on appetite. The specific formula for the consistency factor between intake behavior and circadian rhythm is as follows:

[0046] ;

[0047] in, The consistency factor between intake behavior and circadian rhythm is used to measure whether the patient's eating time is consistent with the circadian rhythm; The actual daily diet of the patient; This is the mean value of similar patients during the normal diet period; A constant used to prevent the denominator from being zero or the logarithm from being undefined, usually 10 -6 ; The main eating time of the day, in hours.

[0048] Finally, the patient's daily dietary intake deviation factor and the degree of variation in dietary time were coupled to model the state. At the same time, the exponential Sigmoid was introduced to adjust the consistency factor between the intake behavior and the time rhythm to obtain the state index. The specific formula of the state index is as follows:

[0049] ;

[0050] in, is a status indicator with a value range of (0, 1); The patient's daily dietary intake deviation factor is used to measure the patient's appetite changes; The variability of eating time is used to measure the regularity of patients' eating time; The consistency factor between intake behavior and circadian rhythm is used to measure whether the patient's eating time is consistent with the circadian rhythm; is the amplification factor, which is used to control the consistency factor between intake behavior and time rhythm The greater the value, the more sensitive the coupling effect.

[0051] Exemplarily, by monitoring the changes in the patient's daily status indicators and judging the patient's mental health level based on thresholds, the following steps are included:

[0052] When the status indicator When it is greater than 0.8 and less than 1, it indicates that the patient's mental state is stable and his eating behavior is normal.

[0053] When the status indicator When it is greater than 0.5 and less than or equal to 0.8, it means that the patient has a mild abnormality and needs regular monitoring.

[0054] When the status indicator When it is greater than 0 and less than or equal to 0.5, it means that the patient has a high degree of abnormality and requires immediate intervention.

[0055] It should be noted that step 100 obtains symptom information and dietary conditions of patients undergoing radiotherapy and chemotherapy for tumors and calculates status indicators, thereby solving the technical problem in the prior art that the psychological status assessment of patients undergoing radiotherapy and chemotherapy relies too much on subjective questionnaires and lacks objective quantitative standards. In the prior art, medical institutions usually use general psychological scales or single appetite scores to assess the patient's status, ignoring the complex relationship between the physiological rhythm changes and dietary behavior unique to patients undergoing radiotherapy and chemotherapy, resulting in one-sidedness and lag in the assessment of the patient's status. The present application simultaneously considers the dietary intake deviation factor, the degree of variation in dietary time, and the consistency factor between the intake behavior and the time rhythm. The three key variables break through the limitation of traditional evaluation methods that focus on a single dimension and realize the refined monitoring of patients' mental state; in particular, by introducing the consideration of circadian consistency, it captures the impact of circadian rhythm disorders on appetite and psychology of patients undergoing radiotherapy and chemotherapy, which is a key factor that is generally overlooked in the existing technology; in addition, the application can automatically calculate standardized status indicators through daily dietary behavior data, without the need for patients to fill out cumbersome evaluation scales, reducing the burden on patients and the workload of medical care. At the same time, by setting thresholds, early warning of abnormal conditions is achieved, providing a time window for clinical intervention, and effectively preventing the deterioration cycle of patients' conditions.

[0056] Step 200: Construct a nutrition symptom assessment model based on symptom information and dietary conditions, and determine nutrition symptom indicators.

[0057] In this embodiment of the present application, it is necessary to construct a nutritional symptom assessment model for patients undergoing tumor radiotherapy and chemotherapy based on the symptom information and dietary status obtained in step S100, calculate the nutritional symptom index (NSI), and provide patients with personalized nutritional status assessment and intervention recommendations. The nutritional symptom assessment model integrates three key dimensions: the symptom burden index, the patient's daily dietary intake deviation factor, and the dietary diversity index, to achieve a comprehensive quantitative assessment of the patient's nutritional status, including the following steps:

[0058] Step S210: Calculating a symptom burden index based on the symptom information.

[0059] For the same symptom, since the interval between the symptom onset time and the current evaluation time has a time attenuation effect on the symptom impact, a time weight factor is introduced. The specific formula is as follows:

[0060] ;

[0061] in, is the time weight factor; is the current assessment time; is the onset time of the i-th symptom; The maximum time span for investigation is usually set to 7 days.

[0062] Furthermore, by comprehensively considering the name, onset time, duration, and severity of each symptom, and integrating the severity, duration, and time weight factor of the symptom, the symptom burden index was calculated. The specific formula is as follows:

[0063] ;

[0064] in, is the symptom burden index; is the symptom impact weight of the i-th symptom; is the severity of the ith symptom; is the duration of the ith symptom, in hours; is the time weight factor; is the total number of symptoms assessed.

[0065] Exemplary, symptom impact weights The impact weights of common symptoms, which can be determined by an expert panel using the Delphi method, include nausea or vomiting at 0.8, stomatitis at 0.7, diarrhea at 0.75, loss of appetite at 0.9, and taste changes at 0.6.

[0066] Step S220: Calculate the dietary diversity index based on the dietary situation.

[0067] It should be noted that, with respect to the dietary diversity index, this embodiment counts the number of different types of food consumed based on the patient's daily diet content and the food classification standards of the Chinese Dietary Guidelines (cereals and tubers, vegetables and fruits, livestock, poultry, meat and eggs, milk and beans, oils and condiments, etc.).

[0068] Furthermore, based on the amount of different food types consumed, the dietary diversity index is calculated by introducing nonlinear transformation. The specific formula is as follows:

[0069] ;

[0070] in, is the dietary diversity index; The amount of different food types consumed; The recommended daily reference value for food diversity is usually 12-15.

[0071] Step S230: Construct a nutritional symptom assessment model by combining the symptom burden index, the patient's daily dietary intake deviation factor, and the dietary diversity index, and use the output of the nutritional symptom assessment model as a nutritional symptom indicator.

[0072] It should be noted that the patient's daily dietary intake deviation factor is calculated using the processing method of step 120 to obtain the patient's daily dietary intake deviation factor. .

[0073] In the examples of this application, to ensure comparability under different symptom numbers and severities, the symptom burden index was standardized, and the specific formula is as follows:

[0074] ;

[0075] in, is the standardized symptom burden index; is the symptom impact weight of the i-th symptom; is the severity of the ith symptom; is the duration of the ith symptom, in hours; is the total number of symptoms assessed; is the average severity of the ith symptom; is the average duration of the ith symptom, in hours.

[0076] Furthermore, a nutritional symptom assessment model was constructed by comprehensively considering the standardized symptom burden index, the patient's daily dietary intake deviation factor, and the dietary diversity index. The specific formula is as follows:

[0077] ;

[0078] in, is the nutritional symptom index, with a value of (0, 1); is the normalization coefficient, and its value is 1.5; is the standardized symptom burden index; is the nutritional deviation sensitivity coefficient, which is 2.0; The patient's daily dietary intake deviation factor is used to measure the patient's appetite changes; is the dietary diversity index.

[0079] For example, based on the calculated nutritional symptom index, the patient's nutritional symptom status can be divided into several levels, including:

[0080] When nutritional symptoms When the value is greater than 0.8 and less than 1.0, it indicates that the nutritional status is normal and the symptoms are well controlled. It is recommended to maintain the existing diet plan.

[0081] When nutritional symptoms When it is greater than 0.6 and less than or equal to 0.8, it indicates a mild nutritional risk and the symptoms are mild. It is recommended to adjust the dietary structure appropriately.

[0082] When nutritional symptoms When it is greater than 0.4 and less than or equal to 0.6, it indicates moderate nutritional risk and requires nutritional intervention. It is recommended to adjust the diet under professional guidance.

[0083] When nutritional symptoms When the value is greater than 0.2 and less than or equal to 0.4, it indicates severe nutritional risk and requires enhanced nutritional support, which may require nutrient supplementation or oral nutritional supplements.

[0084] When nutritional symptoms When it is greater than 0 and less than or equal to 0.2, it indicates extreme nutritional risk and immediate professional nutritional intervention is recommended.

[0085] It should be noted that step 200 solves the technical problems of the existing technology in the single nutritional status assessment method for tumor radiotherapy and chemotherapy patients and the lack of symptom and nutrition correlation analysis by constructing a nutritional symptom assessment model and determining nutritional symptom indicators; although traditional nutritional assessment methods, such as patient subjective overall assessment scales and nutritional risk screening, are widely used in clinical practice, these methods mainly focus on anthropometric indicators and general symptom scores, and fail to fully consider the temporal dynamic effects of radiotherapy and chemotherapy-specific symptoms on nutritional intake, and the assessment process is cumbersome, highly subjective, and has poor timeliness; the present application proposes a nutritional symptom assessment model based on three dimensions: symptom burden index, dietary intake deviation factor, and dietary diversity index, which realizes a multi-dimensional assessment of the nutritional status of radiotherapy and chemotherapy patients; in particular, by introducing a time weight factor to perform time attenuation processing on the impact of symptoms, the existing assessment method solves the problem of symptom duration and time. At the same time, the standardization process solves the problem of insufficient consideration of effectiveness, making the evaluation results more in line with clinical reality; at the same time, it solves the problem of incomparability of evaluation results caused by inconsistent number and severity of symptoms among different patients, and enhances the universality and generalizability of the evaluation system; in addition, the inclusion of dietary diversity index into the evaluation system fills the gap of insufficient attention to food type structure in existing nutritional assessments, and provides a new perspective for comprehensive evaluation of patients' nutritional intake quality; compared with the existing technology, 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, so that the evaluation results can reflect the actual impact of symptoms on nutritional status, and provide more accurate guidance for clinical intervention; in actual application, this application not only simplifies the operation process and improves the evaluation efficiency, but also enables medical staff to quickly judge the patient's nutritional risk level through clear grading standards.

[0086] Step 300: Assess the severity of nutritional symptoms based on the status indicators and nutritional symptom indicators, and determine symptom management measures based on the assessment results.

[0087] It should be noted that based on status indicators and nutritional symptom indicators, this step will assess the severity of nutritional symptoms in patients undergoing tumor radiotherapy and chemotherapy, and then provide evidence-based symptom management measures. It will also automatically send different levels of alarm information to medical staff based on the severity of nutritional symptoms. Patients undergoing tumor radiotherapy and chemotherapy can also view the alarm information themselves.

[0088] Step 310: Compare the state indicator with the state threshold to obtain a state comparison result.

[0089] It should be noted that the degree of abnormality of the patient's mental state is evaluated by comparing the patient's state index obtained in step 100 with a preset state threshold.

[0090] In the embodiment of the present application, two state thresholds can be set: and As a reference standard for evaluating the abnormality of status indicators, it can reflect the different degrees of abnormal psychological status of patients undergoing radiotherapy and chemotherapy. , , by setting the status indicator and status thresholds and By comparison, the psychological state can be divided into levels and the state comparison results can be obtained, including:

[0091] When the status indicator Greater than the status threshold When the tumor is treated with radiotherapy and chemotherapy, the patient is judged to be in a normal state.

[0092] When the status indicator Greater than the status threshold and is less than or equal to the status threshold When the tumor is undergoing radiotherapy and chemotherapy, it is judged that the patient is in a mild abnormal state.

[0093] When the status indicator Less than or equal to the status threshold When the tumor is undergoing radiotherapy and chemotherapy, the patient is judged to be in a severely abnormal state.

[0094] It should be noted that the status threshold and A multi-stage mixed analysis method can be used to determine the state threshold. First, a large number of historical data on the dietary behavior and psychological state of patients undergoing radiotherapy and chemotherapy for tumors are collected, and outliers and incomplete records are removed through data preprocessing technology to ensure data quality. Second, quantile analysis is used to process the distribution characteristics of state indicators and preliminarily determine the state threshold. and numerical range; to further optimize the threshold, the study used a density-based spatial clustering algorithm to identify and remove outliers in the data, then classified the patient status through the K-means clustering algorithm, combined with the silhouette coefficient to evaluate the clustering quality and determine the optimal threshold segmentation point; in particular, considering the cyclical changes in the status of patients undergoing radiotherapy and chemotherapy, the fluctuation pattern of the status indicators was analyzed through time series decomposition technology, and the threshold was adjusted according to the treatment period to make it more in line with clinical practice.

[0095] Step 320: Compare the nutritional symptom index with the nutritional symptom threshold to obtain a nutritional symptom comparison result.

[0096] In the embodiment of the present application, two nutritional symptom thresholds can also be set: and As a reference standard for evaluating the abnormality of nutritional symptom indicators, , , by using nutritional symptom indicators Nutritional symptom thresholds and For comparison, nutritional status can be divided into levels and nutritional symptom comparison results can be obtained, including:

[0097] When nutritional symptoms Greater than nutritional symptom threshold When the tumor is treated with radiotherapy and chemotherapy, the patient is judged to be in a normal state.

[0098] When nutritional symptoms Greater than nutritional symptom threshold and less than or equal to the nutritional symptom threshold When the tumor is undergoing radiotherapy and chemotherapy, it is judged that the patient is in a mild abnormal state.

[0099] When nutritional symptoms Less than or equal to the nutritional symptom threshold When the tumor is undergoing radiotherapy and chemotherapy, the patient is judged to be in a severely abnormal state.

[0100] It should be noted that the nutritional symptom threshold and The determination of can also be based on a multi-stage mixed analysis method; first, a multi-center clinical database is constructed to collect patients' symptom information, dietary conditions and related prognostic data, and after strict data cleaning, an effective analysis set is formed. Subsequently, a quantile analysis of nutritional symptom indicators is performed, and combined with the consensus of nutrition experts, a preliminary setting is made. and value range; secondly, an adaptive clustering algorithm was used to optimize the threshold determination process. First, abnormal sample points were eliminated through a density-based spatial clustering algorithm, and then the K-means algorithm was applied to hierarchically cluster the nutritional symptom indicators. The classification effect under different threshold settings was evaluated by calculating the silhouette coefficient; considering the differential effects of different radiotherapy and chemotherapy regimens and disease stages on the nutritional status of patients, the study also applied time series decomposition technology to analyze the changes in nutritional symptom indicators with the progress of treatment, and adjusted the initially determined thresholds according to the treatment stage to ensure the scientificity and adaptability of the nutritional symptom threshold settings, so as to accurately trigger nutritional intervention measures at different levels.

[0101] Step 330: Determine the severity of the nutritional symptoms based on the status comparison result and the nutritional symptom comparison result.

[0102] In the embodiment of the present application, the severity of nutritional symptoms can be divided into four situations according to the status comparison results and the nutritional symptom comparison results, including:

[0103] When one of the status comparison results and the nutritional symptom comparison results is a mild abnormal state and the other is a mild abnormal state or a normal state, the severity of the nutritional symptom is judged to be a treatment side effect type, indicating that the patient may be experiencing side effects of chemotherapy, such as nausea, vomiting, or stomatitis, but not to a serious degree.

[0104] When the status comparison result is a severely abnormal state, while the nutritional symptom comparison result is a mildly abnormal state or a normal state, or when the status comparison result is a mildly abnormal state, while the nutritional symptom comparison result is a normal state, the severity of the nutritional symptoms is judged to be anorexia type, indicating that the patient's appetite is mainly decreased due to psychological factors, which in turn affects nutritional intake.

[0105] When the nutritional symptom comparison result is a severely abnormal state, while the state comparison result is a mildly abnormal state or a normal state, or when the nutritional symptom comparison result is a mildly abnormal state, while the state comparison result is a normal state, the severity of the nutritional symptoms is judged to be a digestive and absorption disorder type, indicating that the patient mainly has a digestive tract dysfunction problem, which makes it difficult for nutrients to be absorbed and utilized normally.

[0106] When both the status comparison results and the nutritional symptom comparison results are severely abnormal, the severity of the nutritional symptoms is judged to be multifactorial and complex, indicating that the patient faces the superimposed effects of multiple problems, including severe psychological burden and nutritional disorders.

[0107] Step 340: Determine symptom management measures as one or more of pipeline care, diet guidance, exercise advice, and psychological support based on the severity of the nutritional symptoms.

[0108] In the embodiment of the present application, symptom management measures are determined according to the severity of nutritional symptoms, including:

[0109] When the severity of nutritional symptoms is a side effect of treatment, alerts are sent to medical staff for dietary guidance, psychological support, and exercise recommendations, providing dietary strategies to alleviate the side effects of radiotherapy and chemotherapy, helping patients cope with discomfort during treatment and maintain their physical condition.

[0110] When the severity of nutritional symptoms is loss of appetite, alerts for psychological support, dietary guidance, and exercise recommendations are sent to medical staff to help patients relieve psychological stress, improve appetite, enhance eating experience, and promote appetite by increasing physical exertion.

[0111] When the severity of nutritional symptoms is of the digestion and absorption disorder type, an alert for dietary guidance is sent to the medical staff, providing food options that are easily digestible and highly absorbed.

[0112] When the severity of nutritional symptoms is multifactorial, an alert for pipeline care is sent to the medical staff as an important means of nutritional support.

[0113] In an optional embodiment, symptom management measures determined 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 recommendations; for example, exercise recommendations can be reduced or not recommended for elderly patients, while dietary guidance and psychological support can be strengthened; for patients with severe underweight, exercise recommendations may not be recommended, and conduit care may be given priority; for patients with underlying diseases such as diabetes and hypertension, certain dietary guidance that may aggravate the primary disease may not be recommended; for patients with poor mental state assessment, psychological support can be strengthened and other recommendations can be reduced; by simply combining the patient's basic information, it can be more targeted to determine whether symptom management measures such as psychological support, dietary guidance, exercise recommendations or conduit care are needed.

[0114] It should be noted that step 300 solves the technical problem of the lack of personalization and precision in the formulation of nutritional symptom management programs for patients undergoing radiotherapy and chemotherapy in the prior art by evaluating the severity of nutritional symptoms and determining symptom management measures; traditional nutritional intervention programs often adopt a unified standard process, which makes it difficult to provide differentiated solutions for the specific problems of different patients, resulting in limited intervention effects and serious waste of medical resources; and the present application proposes a symptom classification method based on cross-analysis of status indicators and nutritional symptom indicators, which divides 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, thereby achieving accurate positioning of patients' problems; this classification method is different from the prior art which is based only on the single-dimensional classification of symptom severity, but identifies the patient's problem by analyzing the interaction between psychological state and nutritional state. The root causes behind the symptoms provide a scientific basis for targeted intervention; in particular, the distinction between loss of appetite and digestion and absorption disorders solves the problem of difficulty in choosing intervention measures in clinical practice due to similar symptoms but different causes; at the same time, by matching different types of nutritional symptoms with specific management measures such as pipeline care, dietary guidance, exercise advice and psychological support, a complete set of hierarchical diagnosis and treatment plans is formed, enabling medical staff to directly determine intervention strategies based on evaluation results, thereby improving the efficiency and accuracy of clinical decision-making; compared with existing technologies, this application not only improves the pertinence and effectiveness of intervention, but also reduces medical costs by optimizing the allocation of medical resources. At the same time, through early identification and intervention of high-risk patients, it effectively reduces the incidence of malnutrition and treatment interruptions, laying the foundation for improving the overall efficacy of radiotherapy and chemotherapy.

[0115] It should be understood that, although the various steps in the flowcharts involved in the various embodiments described above are displayed in sequence according to the instructions of the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and these steps can be executed in other orders. Moreover, at least a portion of the steps in the flowcharts involved in the various embodiments described above can include multiple steps or multiple stages, and these steps or stages are not necessarily executed and completed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a portion of steps or stages in other steps.

[0116] Based on the same inventive concept, the present application also provides a multidimensional data-based nutritional symptom assessment system for cancer patients undergoing radiotherapy and chemotherapy. The implementation solution provided by this system is similar to the implementation solution described in the above-mentioned method. Therefore, the specific limitations of one or more embodiments of the multidimensional data-based nutritional symptom assessment system for cancer patients undergoing radiotherapy and chemotherapy provided below can be found in the above-mentioned limitations of the multidimensional data-based nutritional symptom assessment method for cancer patients undergoing radiotherapy and chemotherapy, and will not be repeated here.

[0117] In an exemplary embodiment, Figure 3 As shown, a nutritional symptom assessment system for tumor patients undergoing radiotherapy and chemotherapy based on multidimensional data is provided, including:

[0118] Patient symptom and diet collection module, used to obtain symptom information and diet status of patients undergoing radiotherapy and chemotherapy, and calculate status indicators based on diet status;

[0119] Nutritional symptom indicator module, used to build a nutritional symptom assessment model based on symptom information and dietary conditions, and determine nutritional symptom indicators;

[0120] The nutritional symptom assessment module is used to assess the severity of nutritional symptoms based on status indicators and nutritional symptom indicators, and determine symptom management measures based on the assessment results.

[0121] The above-mentioned nutritional symptom assessment system for tumor radiotherapy and chemotherapy patients based on multidimensional data constructs a two-dimensional assessment system by collecting patients' symptom information and dietary conditions; first, it calculates the state index reflecting the psychological state based on the dietary intake deviation factor, dietary time variation coefficient and rhythm consistency factor; secondly, it constructs the nutritional symptom index through the symptom burden index and dietary diversity index; the system grades the psychological state by comparing the state index with the preset threshold, and simultaneously grades the nutritional risk by comparing the nutritional symptom index with the nutritional symptom threshold, and finally determines the four types of nutritional symptoms, and outputs a corresponding composite intervention plan including dietary guidance, psychological support, exercise advice or pipeline care; compared with the traditional single-dimensional nutritional assessment method, this system realizes the simultaneous quantitative assessment of psychological state and nutritional risk through symptom-diet coupling modeling and dual-indicator threshold determination, thereby improving the accuracy and timeliness of nutritional intervention for patients undergoing radiotherapy and chemotherapy.

[0122] Each module in the multidimensional data-based nutritional symptom assessment system for cancer patients undergoing radiotherapy and chemotherapy can be implemented in whole or in part through software, hardware, or a combination thereof. Each module can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in the computer device in the form of software, so that the processor can call and execute the corresponding operations of each module.

[0123] In an exemplary embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as shown in FIG. Figure 4 As shown. The computer device includes a processor, memory, an input / output interface, a communication interface, a display unit, and an input device. The processor, memory, and input / output interface are connected via a system bus, and the communication interface, display unit, and input device are connected to the system bus via the input / output interface. 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 internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and computer program 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 via wired or wireless means, and the wireless means can be implemented via Wi-Fi, a mobile cellular network, near-field communication (NFC), or other technologies. When executed by the processor, the computer program implements a method for assessing nutritional symptoms in tumor patients undergoing radiotherapy and chemotherapy based on multidimensional data. The display unit of the computer device is used to form a visually visible image, and 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, and the input device of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad set on the computer device casing, or an external keyboard, touchpad or mouse.

[0124] Those skilled in the art will understand that Figure 4 The structure shown in the figure is only a block diagram of a part of the structure 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 shown in the figure, or combine certain components, or have a different component arrangement.

[0125] In one embodiment, a computer device is further provided, including a memory and a processor. The memory stores a computer program, and the processor implements the steps in the above method embodiments when executing the computer program.

[0126] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0127] In one embodiment, a computer program product is provided, including a computer program, which implements the steps in the above method embodiments when executed by a processor.

[0128] 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 used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0129] Those skilled in the art will appreciate that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the 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 above-mentioned embodiments. In particular, any reference to memory, database, or other media 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), magnetic 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 take various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The databases involved in the various embodiments provided herein may include at least one of a relational database and a non-relational database. Non-relational databases may include, but are not limited to, distributed databases based on blockchains. The processors involved in the various embodiments provided herein may be, but are not limited to, general-purpose processors, central processing units (CPUs), graphics processing units (GPUs), digital signal processors (DSPs), programmable logic devices (PLDs), data processing logic based on quantum computing, artificial intelligence (AI) processors, and the like.

[0130] The technical features of the above embodiments can be combined arbitrarily. In order to make the description concise, 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, they should be considered to be within the scope of this application.

[0131] The above-described embodiments merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present application. It should be noted that a person of ordinary skill in the art may make various modifications and improvements without departing from the spirit of the present application, and these modifications and improvements fall within the scope of protection of the present application. Therefore, the scope of protection of the present application shall be determined by the appended claims.

Claims

1. A method for evaluating nutritional symptoms in patients undergoing chemotherapy and radiotherapy based on multidimensional data, characterized in that: include: Obtaining symptom information and dietary status of patients undergoing radiotherapy and chemotherapy for tumors, and calculating status indicators based on the dietary status; constructing a nutritional symptom assessment model based on the symptom information and the dietary conditions, and determining nutritional symptom indicators; Assessing the severity of nutritional symptoms according to the status indicators and the nutritional symptom indicators, and determining symptom management measures based on the assessment results; Constructing a nutritional symptom assessment model based on the symptom information and the dietary conditions, including: calculating a symptom burden index based on the symptom information; Calculating a dietary diversity index based on the dietary situation; Constructing a nutritional symptom assessment model by combining the symptom burden index, the patient's daily dietary intake deviation factor, and the dietary diversity index, and using the output of the nutritional symptom assessment model as a nutritional symptom index; Taking into account the standardized symptom burden index, the patient's daily dietary intake deviation factor, and the dietary diversity index, a nutritional symptom assessment model was constructed. The specific formula is as follows: ； in, is the nutritional symptom index, with a value of (0, 1); is the normalization coefficient, and its value is 1.5; is the standardized symptom burden index; is the nutritional deviation sensitivity coefficient, which is 2.0; The patient's daily dietary intake deviation factor is used to measure the patient's appetite changes; is the dietary diversity index.

2. The method for evaluating nutritional symptoms in patients undergoing chemotherapy and radiotherapy based on multidimensional data according to claim 1, wherein: Status indicators are calculated based on the dietary conditions, including: Based on the dietary situation, the deviation factor of the patient's daily dietary intake, the degree of variation in dietary time, and the consistency factor between the dietary behavior and the temporal rhythm were calculated; The patient's daily dietary intake deviation factor, the degree of variation in the dietary time, and the consistency factor between the intake behavior and the time rhythm are coupled to model the state index.

3. The method for evaluating nutritional symptoms in patients undergoing chemotherapy and radiotherapy based on multidimensional data according to claim 2, wherein: Calculating a symptom burden index based on the symptom information includes: Determine a time weighting factor based on the interval between the symptom onset time and the current assessment time; The Delphi method was used to adjust the symptom impact weights for the severity of each symptom; A symptom burden index is calculated using the time weight factor, the symptom impact weight, and the symptom information.

4. The method for evaluating nutritional symptoms in patients undergoing chemotherapy and radiotherapy based on multidimensional data according to claim 3, wherein: Calculate a dietary diversity index based on dietary patterns, including: Counting the amount of different food types consumed based on the described diet; comparing the amounts of the different food groups with the recommended daily reference values ​​for food group diversity; The comparison results were subjected to nonlinear transformation to obtain the dietary diversity index.

5. The method for evaluating nutritional symptoms in patients undergoing chemotherapy and radiotherapy based on multidimensional data according to claim 4, characterized in that: Assess the severity of nutritional symptoms based on the status indicators and the nutritional symptom indicators, and determine symptom management measures based on the assessment results, including: Comparing the state indicator with the state threshold to obtain a state comparison result; Comparing the nutritional symptom index with the nutritional symptom threshold to obtain a nutritional symptom comparison result; Performing an assessment based on the state comparison result and the nutritional symptom comparison result to obtain the severity of the nutritional symptoms; Symptom management measures are determined based on the severity of the nutritional symptoms.

6. The method for evaluating nutritional symptoms in patients undergoing tumor radiotherapy and chemotherapy based on multidimensional data according to claim 5, characterized in that: The symptom management measures include one or more of pipeline care, dietary guidance, exercise advice, and psychological support.

7. A multidimensional data-based nutritional symptom assessment system for tumor radiotherapy and chemotherapy patients, employing a multidimensional data-based nutritional symptom assessment method for tumor radiotherapy and chemotherapy patients as described in any one of claims 1 to 6, characterized in that: Patient symptom and diet collection module, used to obtain symptom information and diet status of patients undergoing radiotherapy and chemotherapy, and calculate status indicators based on diet status; Nutritional symptom indicator module, used to build a nutritional symptom assessment model based on symptom information and dietary conditions, and determine nutritional symptom indicators; The nutritional symptom assessment module is used to assess the severity of nutritional symptoms based on status indicators and nutritional symptom indicators, and determine symptom management measures based on the assessment results.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method for evaluating nutritional symptoms of tumor patients undergoing radiotherapy and chemotherapy based on multidimensional data according to any one of claims 1 to 6 are implemented.

9. 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 nutritional symptoms of tumor patients undergoing radiotherapy and chemotherapy based on multidimensional data are implemented as described in any one of claims 1 to 6.

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