A method and system for nutritional management of cancer patients based on multi-objective optimization

Abstract

The present invention proposes a method and system for nutritional management of cancer patients based on multi-objective optimization. The method includes: collecting basic patient data information, and obtaining the patient's basic protein requirement based on the patient's basic data information in combination with a baseline protein requirement, a first correction factor, and a second correction factor; obtaining the patient's activity data within a preset trial monitoring time period, and using the patient's activity data in combination with a first compensation factor and a second compensation factor to obtain a protein requirement compensation; and using the basic protein requirement and protein requirement compensation to retrieve a nutritional plan corresponding to the basic protein requirement and protein requirement compensation from a database. The system includes modules corresponding to the steps of the method.

Description

Technical Field

[0001] The present invention proposes a nutrition management method and system for tumor patients based on multi-objective optimization, belonging to the technical field of nutrition management. Background Art

[0002] Malnutrition among cancer patients is a global public health issue, with an incidence rate as high as 30%-80%. Malnutrition contributes to 20% of patients' deaths, and 30% to cachexia. Malnutrition not only increases mortality but also prolongs hospital stays, increases medical costs, and significantly reduces patients' quality of life. For a long time, insufficient attention has been paid to the issue of malnutrition in cancer patients, resulting in many patients being unable to access timely and effective nutritional data management. Protein monitoring is a crucial component of nutritional management for cancer patients. Due to the rapid proliferation of tumor cells, their demand for nutrients such as protein is much higher than that of normal cells, leading to significantly increased protein consumption in patients. Furthermore, treatments such as chemotherapy and radiotherapy can also cause damage to the patient's body, further impacting protein digestion, absorption, and utilization, exacerbating malnutrition. However, existing approaches to nutritional management for cancer patients still suffer from poor accuracy, due to a mismatch between the determined protein intake and the patient's actual condition. Summary of the Invention

[0003] The present invention provides a method and system for nutritional management of cancer patients based on multi-objective optimization, which is used to solve the problem that nutritional management in the prior art is low in accuracy and cannot match the actual conditions of the patients themselves. The technical solutions adopted are as follows:

[0004] A method for nutritional management of cancer patients based on multi-objective optimization, comprising:

[0005] Collecting basic data information of the patient, and obtaining the basic protein requirement of the patient based on the basic data information of the patient in combination with the baseline protein requirement, the first correction factor and the second correction factor;

[0006] Acquiring activity data of the patient during a preset trial monitoring period, and obtaining a protein requirement compensation amount using the activity data of the patient in combination with a first compensation amount factor and a second compensation amount factor;

[0007] The basic protein requirement and the protein requirement compensation amount are used to retrieve a nutrition plan corresponding to the basic protein requirement and the protein requirement compensation amount from a database.

[0008] Furthermore, basic data information of the patient is collected, and according to the basic data information of the patient, a baseline protein requirement, a first correction factor, and a second correction factor, a basic condition assessment result of the patient is obtained, including:

[0009] Control the nutrition management platform to set the first basic data information collection time interval and the second basic data collection time interval;

[0010] Controlling the nutrition management platform to collect basic data information of the patient from the medical terminal in an alternating manner according to the first basic data information collection time interval and the second basic data collection time interval; wherein the basic data information includes age, gender, height, weight and body mass index (BMI);

[0011] The first basic data information collection time interval and the second basic data collection time interval meet the following time length constraints:

[0012] 1.8T 02 <T 01 <3.2T 02

[0013] Among them, T 01 represents the first basic data information collection time interval; T 02 Indicates the second basic data information collection time interval;

[0014] The control nutrition management platform obtains the patient's basic protein requirement according to the patient's basic data information combined with the benchmark protein requirement, the first correction factor and the second correction factor.

[0015] Furthermore, controlling the nutrition management platform to obtain the patient's basic protein requirement based on the patient's basic data information in combination with the baseline protein requirement, the first correction factor, and the second correction factor includes:

[0016] The baseline protein requirement is obtained according to the patient's weight information, wherein the baseline protein requirement is obtained by the following formula:

[0017]

[0018] Among them, B r Indicates the patient's corresponding baseline protein requirement; m z Indicates unit protein weight, the value range of unit protein weight is 0.5g / kg-0.8g / kg; M h Indicates the current patient's weight; M x Indicates the weight of the patient's last physical examination stored in the medical terminal;

[0019] Obtaining a correction factor using the patient's age information, gender information, and body mass index (BMI), and obtaining a baseline protein requirement coefficient using the correction factor;

[0020] The basic protein requirement is obtained using the benchmark protein requirement and the benchmark protein requirement coefficient.

[0021] Furthermore, the correction factor is obtained using the patient's age information, gender information, and body mass index (BMI), and the baseline protein requirement coefficient is obtained using the correction factor, including:

[0022] Extract the patient's age and gender information;

[0023] The first correction factor is obtained using the patient's age information and gender information; wherein the first correction factor is obtained by the following formula:

[0024]

[0025] Among them, K 01 represents the first correction factor; N represents the patient's age; m z represents the unit protein weight, and the value range of the unit protein weight is 0.5g / kg-0.8g / kg; k represents the first adjustment coefficient; v represents the second adjustment coefficient; wherein, the first adjustment coefficient and the second adjustment coefficient are obtained by the following formula:

[0026]

[0027] Wherein, k represents the first adjustment coefficient; v represents the second adjustment coefficient; B represents the duration of the patient's illness; N represents the patient's age; k0 represents the baseline parameter, the value range of which is 0.048-0.052, preferably 0.05; P m represents the average weight change rate of each physical examination after the patient becomes ill; P r It represents the average rate of change of muscle content in each physical examination after the patient becomes ill;

[0028] Extract the patient's body mass index (BMI);

[0029] The second correction factor is obtained using the patient's body mass index (BMI); wherein the second correction factor is obtained by the following formula:

[0030]

[0031] Among them, K 02 Indicates the second correction factor; BIM indicates the specific value corresponding to BIM;

[0032] The first correction factor and the second correction factor are used to obtain a baseline protein requirement coefficient; wherein the baseline protein requirement coefficient is obtained by the following formula:

[0033]

[0034] Where K represents the baseline protein requirement coefficient; K 01 Represents the first correction factor; K 02 Indicates the second correction factor; B r Indicates the patient's corresponding baseline protein requirement.

[0035] Furthermore, the basic protein requirement is obtained by using the benchmark protein requirement and the benchmark protein requirement coefficient, including:

[0036] Extracting the baseline protein requirement and baseline protein requirement coefficient corresponding to the patient;

[0037] The basic protein requirement is obtained by using the benchmark protein requirement and the benchmark protein requirement coefficient, wherein the basic protein requirement is obtained by the following formula:

[0038]

[0039] Wherein, B represents the basic protein requirement; K represents the benchmark protein requirement coefficient; B r Indicates the patient's corresponding baseline protein requirement.

[0040] Furthermore, obtaining the patient's activity data within a preset trial monitoring period, and using the patient's activity data in combination with the first compensation factor and the second compensation factor to obtain the protein requirement compensation amount, includes:

[0041] Retrieve the preset test monitoring time period;

[0042] During a preset trial monitoring period, the nutrition management platform is controlled to obtain the patient's daily activity data in real time through the motion information collection device worn by the patient, wherein the activity data includes the number of steps, activity duration, energy consumption and heart rate data;

[0043] Performing data cleaning on the activity data to remove unreasonable data information in the activity data;

[0044] The amount of data that extracts unreasonable data information from activity data;

[0045] Comparing the amount of unreasonable data information in the activity data with a preset data amount threshold;

[0046] When the amount of unreasonable data information in the activity data exceeds a preset data amount threshold, the activity data is recollected;

[0047] The protein requirement compensation amount is obtained using the exercise step count, activity duration, energy consumption and heart rate data.

[0048] Furthermore, the protein requirement compensation amount is obtained using the exercise step count, activity duration, energy consumption and heart rate data, including:

[0049] At the end of the preset trial monitoring period, extracting the number of steps and energy consumption from the activity data;

[0050] The first compensation factor is obtained by using the number of movement steps and energy consumption, wherein the first compensation factor is obtained by the following formula:

[0051]

[0052] Among them, S 01 represents the first compensation factor; e represents the number of unit times contained in the preset test monitoring period, and the unit time is 24 hours; M i represents the energy consumption per unit time; W di The total energy corresponding to the food intake per unit time i;

[0053] At the end of the preset trial monitoring time period, extracting the activity duration and heart rate data from the activity data;

[0054] The activity duration and heart rate data are used to obtain a second compensation factor, wherein the second compensation factor is obtained by the following formula:

[0055]

[0056] Among them, S 02 represents the first compensation factor; e represents the number of unit times contained in the preset test monitoring time period, and the unit time is 24 hours; P xi represents the heart rate change rate per unit time; T i represents the activity duration corresponding to the i-th unit time; T d Indicates the duration corresponding to a unit of time;

[0057] The protein requirement compensation amount is obtained using the first compensation amount factor and the second compensation amount factor.

[0058] Furthermore, obtaining the protein requirement compensation amount using the first compensation factor and the second compensation factor includes:

[0059] Extract the patient's corresponding baseline protein requirement and basal protein requirement;

[0060] The protein requirement compensation amount is obtained by combining the first compensation factor and the second compensation factor with the baseline protein requirement and the basic protein requirement, wherein the protein requirement compensation amount is obtained by the following formula:

[0061]

[0062] Among them, B c Indicates the amount of protein required for compensation; S 02 represents the second compensation factor; B represents the basic protein requirement; B r Indicates the patient's corresponding baseline protein requirement; S 01 Indicates the first compensation factor.

[0063] Furthermore, the basic protein requirement and the protein requirement compensation amount are used to retrieve a nutrition plan corresponding to the basic protein requirement and the protein requirement compensation amount from a database, including:

[0064] The patient's basal protein requirement and protein requirement compensation are input into the database as input parameters;

[0065] The database is searched according to the input parameters, searching for a nutrition plan corresponding to the input parameters, and obtaining a plurality of nutrition plans matching the input data;

[0066] Retrieve the patient's corresponding allergy history information and treatment plan information input by the medical terminal;

[0067] The multiple nutritional plans that match the input data are screened according to the patient's corresponding allergy history information and treatment plan information to obtain a nutritional plan that matches the patient.

[0068] A nutrition management system for cancer patients based on multi-objective optimization, comprising:

[0069] A basic protein requirement acquisition module is used to collect basic data information of the patient and obtain the basic protein requirement of the patient based on the basic data information of the patient in combination with the baseline protein requirement, the first correction factor and the second correction factor;

[0070] a protein requirement compensation amount acquisition module, configured to acquire the patient's activity data within a preset trial monitoring period, and to acquire the protein requirement compensation amount by using the patient's activity data in combination with a first compensation amount factor and a second compensation amount factor;

[0071] The nutrition plan acquisition module is used to use the basic protein requirement and the protein requirement compensation amount to retrieve a nutrition plan corresponding to the basic protein requirement and the protein requirement compensation amount from a database.

[0072] Beneficial effects of the present invention:

[0073] The present invention proposes a method and system for nutritional management of cancer patients based on multi-objective optimization. By collecting basic data and activity data of patients, accurate assessment of patients' nutritional needs is achieved. This helps avoid over- or undernutrition and improves the effectiveness and safety of nutritional management. Based on the patient's specific needs and circumstances, the corresponding nutritional plan is retrieved from the database and personalized adjustments are made. This helps meet the patient's special needs and improve the targetedness and effectiveness of their nutritional intake. By providing a scientific and reasonable nutritional plan, it helps to improve the patient's nutritional status and quality of life. This helps to enhance the patient's immunity and resistance, and promotes recovery and prognosis of the disease. Through precise and personalized nutritional management, unnecessary medical expenses and waste can be reduced. At the same time, good nutritional status also helps to shorten the patient's hospitalization time and recovery period, further reducing medical costs. This technical solution requires the patient to actively participate and provide relevant data and information, which helps to enhance communication and cooperation between doctors and patients. BRIEF DESCRIPTION OF THE DRAWINGS

[0074] Figure 1 A flow chart of the method of the present invention;

[0075] Figure 2 This is a system block diagram of the system of the present invention. DETAILED DESCRIPTION

[0076] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0077] The embodiment of the present invention proposes a method for nutritional management of cancer patients based on multi-objective optimization, such as Figure 1 As shown, the method for nutritional management of cancer patients includes:

[0078] S1. Collect basic data information of the patient, and obtain the basic protein requirement of the patient based on the basic data information of the patient in combination with the baseline protein requirement, the first correction factor and the second correction factor;

[0079] S2. Obtaining activity data of the patient during a preset trial monitoring period, and obtaining a protein requirement compensation amount using the activity data of the patient in combination with a first compensation factor and a second compensation factor;

[0080] S3. Using the basic protein requirement and the protein requirement compensation amount, retrieve a nutrition plan corresponding to the basic protein requirement and the protein requirement compensation amount from a database.

[0081] The working principle of the above technical solution is: this step first collects the patient's basic data information, including but not limited to age, gender, weight, height, etc.

[0082] Based on these basic data, nutritional principles and calculation formulas are used to estimate the patient's basal protein requirement, which reflects the amount of protein the patient needs to maintain basic physiological functions at rest.

[0083] During a pre-set trial monitoring period, patients will be provided with real-time activity data collected through a motion data collection device (such as a smart bracelet or smartwatch). This data includes steps, activity duration, activity type, heart rate, and energy expenditure. Advanced algorithms and models are used to analyze the patient's activity data and calculate the additional protein requirement due to increased physical activity, known as the protein requirement compensation. This compensation is designed to meet the patient's additional nutritional needs resulting from increased activity.

[0084] The patient's total protein requirement is calculated by adding the basal protein requirement and the protein requirement compensation. Based on this total requirement, a corresponding nutritional plan is retrieved from a pre-established database. The plans in the database should cover a variety of ingredient combinations, nutrient ratios, and cooking methods to meet the individual needs of different patients.

[0085] In actual application, the nutritional plan can also be fine-tuned according to factors such as the patient's taste preferences and dietary taboos to ensure its feasibility and patient acceptance.

[0086] The effect of the above technical solution is: by collecting the patient's basic data information and activity data, an accurate assessment of the patient's nutritional needs is achieved. This helps to avoid overnutrition or undernutrition and improve the effectiveness and safety of nutritional management. Based on the patient's specific needs and situation, the corresponding nutritional plan is retrieved from the database and personalized adjustments are made. This helps to meet the patient's special needs and improve the pertinence and effectiveness of their nutritional intake. By providing a scientific and reasonable nutritional plan, it helps to improve the patient's nutritional status and quality of life. This helps to enhance the patient's immunity and resistance and promote recovery and prognosis of the disease. Through precise and personalized nutritional management, unnecessary medical expenses and waste can be reduced. At the same time, good nutritional status also helps to shorten the patient's hospitalization time and recovery cycle, further reducing medical costs. This technical solution requires the patient to actively participate and provide relevant data and information, which helps to enhance communication and cooperation between doctors and patients.

[0087] In one embodiment of the present invention, basic data information of a patient is collected, and a basic condition assessment result of the patient is obtained based on the basic data information of the patient in combination with a baseline protein requirement, a first correction factor, and a second correction factor, including:

[0088] S101, controlling the nutrition management platform to set a first basic data information collection time interval and a second basic data collection time interval;

[0089] S102: Control the nutrition management platform to collect basic data information of the patient from the medical terminal in an alternating manner according to the first basic data information collection time interval and the second basic data collection time interval; wherein the basic data information includes age, gender, height, weight, and body mass index (BMI);

[0090] The first basic data information collection time interval and the second basic data collection time interval meet the following time length constraints:

[0091] 1.8T 02 <T 01 <3.2T 02

[0092] Among them, T 01 represents the first basic data information collection time interval; T 02 Indicates the second basic data information collection time interval;

[0093] S103 , controlling the nutrition management platform to obtain the patient's basic protein requirement according to the patient's basic data information, the baseline protein requirement, the first correction factor, and the second correction factor.

[0094] The working principle of the above technical solution is as follows: This step involves information exchange between the nutrition management platform and the medical terminal. The nutrition management platform sends a request to the medical terminal through a preset interface or protocol, requesting the collection of basic patient data. Upon receiving the request, the medical terminal extracts the required basic data from the patient's electronic medical record, health record, or other relevant systems, including age, gender, height, weight, and body mass index (BMI). Once extracted, the medical terminal sends this basic data back to the nutrition management platform for further processing and analysis.

[0095] After receiving the patient's baseline data, the nutrition management platform uses a built-in algorithm or formula to calculate the patient's basic protein requirement. The specific calculation method may be based on nutritional principles, such as using the patient's weight and BMI, combined with certain protein intake standards (such as grams of protein per kilogram of body weight), to estimate the patient's basic protein requirement. The calculated results will be used as part of the patient's baseline condition assessment and will be used to formulate and adjust the subsequent nutrition plan.

[0096] The above technical solution achieves the following: Through the integration of the nutrition management platform and medical terminals, the automated collection and processing of basic patient data is achieved. This improves the efficiency and accuracy of data collection and reduces the possibility of manual data entry errors. Based on the patient's basic data, their basal protein requirement can be accurately calculated, providing personalized assessment results for subsequent nutritional management. This helps to develop nutrition plans that are more tailored to the patient's specific circumstances. Through automated and precise data processing, medical institutions can better understand the patient's nutritional needs and optimize the allocation and use of medical resources. For example, nutritional counseling, dietary adjustments, and other services can be rationally arranged based on the patient's nutritional needs. Personalized nutritional assessment results help improve patient satisfaction and compliance. Patients can feel that the medical institution is paying attention to and paying attention to their nutritional needs, which in turn leads to more active cooperation with treatment and rehabilitation plans. With the continuous accumulation and analysis of basic data information, medical institutions can continuously optimize and refine their nutrition management methods. By comparing the assessment results and nutritional intervention effects of different patients, more effective nutrition management strategies and practical experience can be summarized. In addition, the collected basic data includes key information such as age, gender, height, weight, and body mass index (BMI), which is crucial for assessing patients' nutritional status and needs. By comprehensively collecting this information, the solution provides reliable data support for the subsequent calculation of the patient's basic protein requirement. Based on the patient's basic data information, combined with the baseline protein requirement, the first correction factor, and the second correction factor, the solution can calculate the patient's basic protein requirement. This personalized calculation method fully considers the individual differences and nutritional needs of patients, providing a basis for formulating more accurate nutrition management plans. Through the above technical solutions, the nutrition management platform can more effectively manage and utilize patients' data information, providing patients with more personalized nutrition advice and management plans. This not only improves the efficiency of nutrition management, but also significantly improves the management effect, helping to improve patients' nutritional status and health level.

[0097] Furthermore, by setting a first basic data collection interval (T01) and a second basic data collection interval (T02), and alternating these intervals to collect basic patient data from the medical terminal, this solution achieves data collection flexibility. This alternating collection method balances data collection frequency with system resource consumption, ensuring sufficient data is obtained to support subsequent analysis and decision-making without excessively consuming system resources. Furthermore, by setting time length constraints (1.8T02 < T01 < 3.2T02), this solution ensures the rationality and accuracy of data collection intervals. This adjustment mechanism allows for flexible adjustment of data collection frequency based on the patient's specific condition and medical needs, better meeting the needs of practical applications.

[0098] In summary, this technical solution achieves comprehensive monitoring and management of patients' nutritional status through flexible data collection strategies, precise time interval adjustment, comprehensive basic data information collection, personalized protein requirement calculation, and improved efficiency and effectiveness of nutritional management.

[0099] In one embodiment of the present invention, controlling the nutrition management platform to obtain the patient's basic protein requirement based on the patient's basic data information in combination with the baseline protein requirement, the first correction factor, and the second correction factor includes:

[0100] S1021. Obtain a baseline protein requirement based on the patient's weight information, wherein the baseline protein requirement is obtained using the following formula:

[0101]

[0102] Among them, B r Indicates the patient's corresponding baseline protein requirement; m z Indicates unit protein weight, the value range of unit protein weight is 0.5g / kg-0.8g / kg; M h Indicates the current patient's weight; M x Indicates the weight of the patient's last physical examination stored in the medical terminal;

[0103] S1022. Obtain a correction factor using the patient's age information, gender information, and body mass index (BMI), and obtain a baseline protein requirement coefficient using the correction factor;

[0104] S1023. Obtain basic protein requirement using the benchmark protein requirement and the benchmark protein requirement coefficient.

[0105] The working principle of the above technical solution is to calculate a preliminary baseline protein requirement based on the patient's weight information. The unit protein weight in grams is used as the calculation factor here, and its value range is usually between 0.5g / kg and 0.8g / kg. The specific value may be adjusted according to the patient's specific situation (such as age, gender, activity level, etc.). The current patient's weight is one of the key parameters for calculating the baseline protein requirement. At the same time, in order to take into account the changes in the patient's weight, the patient's weight at the time of the last physical examination is also introduced as a reference. The baseline protein requirement is calculated by multiplying the unit protein weight in grams by the current patient's weight.

[0106] Once the baseline protein requirement is determined, a correction factor is calculated using the patient's age, gender, and body mass index (BMI) to more accurately reflect their actual protein needs. The calculation of this correction factor may be based on a complex set of nutritional principles and statistical data, aiming to account for the impact of different age groups, genders, and BMI levels on protein requirements. By applying this correction factor to the baseline protein requirement, a more accurate baseline protein requirement coefficient can be obtained.

[0107] Finally, multiplying the baseline protein requirement by the baseline protein requirement coefficient yields the patient's basal protein requirement. This requirement more closely reflects the patient's actual nutritional needs and provides an important basis for subsequent nutritional management and intervention.

[0108] The above technical solution achieves a personalized assessment of a patient's basal protein requirement by comprehensively considering multiple factors, including weight, age, gender, and BMI. This assessment method is more scientific and accurate, facilitating the development of a nutrition plan more tailored to the patient's specific needs. By using the patient's weight at their last physical examination as a reference, the unit protein weight and correction factor can be adjusted as the patient's weight and physical condition change, ensuring the continued effectiveness of the nutrition plan. Accurately calculating a patient's basal protein requirement provides clearer goals and direction for nutritional management. This helps reduce the occurrence of over- or undernutrition and improves the accuracy and effectiveness of nutritional management. Personalized nutritional management plans help meet patients' actual nutritional needs, promote their physical recovery, and maintain their health. Furthermore, scientific nutritional management can reduce the risk of complications and improve their quality of life. Accurate nutritional management helps medical institutions allocate and utilize medical resources more rationally. Providing patients with targeted nutritional support and treatment services can reduce unnecessary medical expenses and waste, and improve the efficiency of medical resource utilization.

[0109] At the same time, by taking into account multiple factors such as the patient's weight (including current weight and weight at the last physical examination, which can be used to assess weight changes), age, gender, and BMI, the program can formulate personalized protein requirements for the specific circumstances of different patients. This personalized setting helps to more accurately meet the patient's nutritional needs and avoid over- or undernutrition caused by "one-size-fits-all" recommendations. Using the range of unit protein grams (mz) (0.5g / kg-0.8g / kg) as a benchmark and adjusting protein requirements based on the patient's specific circumstances (such as weight changes, age, gender, BMI) is more accurate than estimates based on a single factor (such as weight). In particular, by introducing correction factors and baseline protein requirement coefficients, the calculation of protein requirements is further refined, improving the accuracy of the results.

[0110] At the same time, the calculation formula in the plan allows for flexible adjustments based on the patient's actual situation. For example, if the patient's weight changes significantly, the system can automatically adjust the baseline protein requirement; at the same time, by considering factors such as age, gender, and BMI, the system can more comprehensively assess the patient's nutritional needs, thereby providing a more flexible and adaptable nutrition management plan. This technical solution is based on the principles of medicine and nutrition, and calculates protein requirements through scientific formulas and parameter settings. This method not only reflects the scientific nature of nutrition management, but also improves its professionalism, helping to provide patients with more professional and effective nutrition guidance. This technical solution is implemented through a medical terminal, which is convenient for clinical medical staff to operate and use. Medical staff only need to enter the patient's relevant information, and the system can automatically calculate the protein requirement, which greatly simplifies the nutrition management workflow and improves work efficiency.

[0111] In summary, the technical effects of this technical solution in terms of performance indicators are mainly reflected in high degree of personalization, improved accuracy, enhanced flexibility, scientificity and professionalism, and ease of clinical application.

[0112] In one embodiment of the present invention, a correction factor is obtained using the patient's age information, gender information, and body mass index (BMI), and a baseline protein requirement coefficient is obtained using the correction factor, including:

[0113] Step 1: Extract the patient's age and gender information;

[0114] Step 2: Obtain a first correction factor using the patient's age and gender information; wherein the first correction factor is obtained by the following formula:

[0115]

[0116] Among them, K 01 represents the first correction factor; N represents the patient's age; mz represents the unit protein weight, and the value range of the unit protein weight is 0.5g / kg-0.8g / kg; k represents the first adjustment coefficient; v represents the second adjustment coefficient; wherein, the first adjustment coefficient and the second adjustment coefficient are obtained by the following formula:

[0117]

[0118] Wherein, k represents the first adjustment coefficient; v represents the second adjustment coefficient; B represents the duration of the patient's illness; N represents the patient's age; k0 represents the baseline parameter, the value range of which is 0.048-0.052, preferably 0.05; P m represents the average weight change rate of each physical examination after the patient becomes ill; P r It represents the average rate of change of muscle content in each physical examination after the patient becomes ill;

[0119] Step 3, extracting the patient's body mass index (BMI);

[0120] Step 4: Obtain a second correction factor using the patient's body mass index (BMI); wherein the second correction factor is obtained by the following formula:

[0121]

[0122] Among them, K 02 Indicates the second correction factor; BIM indicates the specific value corresponding to BIM;

[0123] Step 5: Obtain a baseline protein requirement coefficient using the first correction factor and the second correction factor; wherein the baseline protein requirement coefficient is obtained by the following formula:

[0124]

[0125] Where K represents the baseline protein requirement coefficient; K 01 Represents the first correction factor; K 02 Indicates the second correction factor; B r Indicates the patient's corresponding baseline protein requirement.

[0126] The technical solution works by extracting basic information such as age, gender, and body mass index (BMI) from a patient's electronic medical record or health file. This information serves as the basis for calculating the correction factor and baseline protein requirement coefficient.

[0127] The first correction factor is calculated using the patient's age, gender, and specific parameters after the onset of illness (such as duration of illness, average rate of change in weight, average rate of change in muscle content, etc.).

[0128] The calculation of the first correction factor involves multiple variables, including age, protein weight per gram, the first adjustment factor, and the second adjustment factor. Specifically, the first and second adjustment factors are calculated by considering the patient's duration of illness, age, rate of change in weight, and rate of change in muscle mass. These parameters reflect the impact of the patient's disease state on protein requirements.

[0129] The second correction factor is calculated using the patient's body mass index (BMI). BMI is a standard measure of obesity in the human body. BMI can be used to assess the patient's body composition and nutritional status, thereby further adjusting protein requirements.

[0130] The first and second correction factors are combined with the baseline protein requirement to calculate the baseline protein requirement coefficient. This coefficient takes into account the impact of multiple factors such as the patient's age, gender, BMI, and disease status on protein requirements, providing a basis for developing a personalized nutrition plan.

[0131] The above technical solution achieves a personalized assessment of a patient's protein needs by comprehensively considering multiple factors, including age, gender, BMI, and disease status. This assessment method is more comprehensive and scientific, helping to improve the accuracy and effectiveness of nutritional management. By incorporating dynamic parameters such as illness duration, weight change rate, and muscle mass change rate into the calculation of the correction factor, the calculated results better reflect the impact of changes in a patient's disease status on protein needs. This facilitates timely adjustment and optimization of nutritional management plans. Accurately calculating the baseline protein requirement coefficient provides clearer goals and direction for nutritional management. This helps reduce the occurrence of over- or undernutrition and improves the accuracy and effectiveness of nutritional management. Personalized nutritional management plans help meet patients' actual nutritional needs, promote their physical recovery, and maintain their health. Furthermore, scientific nutritional management can reduce the risk of complications and improve their quality of life. Accurate nutritional management helps medical institutions allocate and utilize medical resources more rationally. Providing patients with targeted nutritional support and treatment services can reduce unnecessary medical expenses and waste, and improve the efficiency of medical resource utilization.

[0132] At the same time, by comprehensively considering multiple factors such as the patient's age, gender, body mass index (BMI), and the rate of change in weight and muscle content after the illness, this technical solution can provide patients with a highly customized baseline protein requirement coefficient. This customized method can more accurately reflect the individual differences and health status of patients, thereby providing a more personalized nutritional management plan. By introducing the first correction factor and the second correction factor, and calculating them using the above formula and adjustment coefficient respectively, the calculation process of the baseline protein requirement coefficient is made more scientific and accurate. In particular, by taking into account the rate of change in the patient's weight and muscle content after the illness, the solution can more accurately assess the patient's nutritional status and protein needs, avoiding the errors that may be caused by single-factor estimation.

[0133] Furthermore, this technical solution can dynamically adjust the baseline protein requirement coefficient as a patient's health status changes. For example, if a patient's weight or muscle mass changes significantly, the system can automatically recalculate the adjustment coefficient and correction factor to ensure the accuracy of protein requirements. This dynamic adaptability helps provide patients with continuous and effective nutritional support.

[0134] The entire calculation process is based on medical and nutritional principles, using scientific formulas and parameter settings to ensure the accuracy and reliability of the results. This scientific and professional approach not only improves the effectiveness of nutritional management but also strengthens the trust of patients and healthcare professionals in the program. The calculation process reduces complexity, and the above technical solution can be automated using modern equipment such as medical terminals. Healthcare professionals simply input the patient's relevant information, and the system automatically calculates the baseline protein requirement coefficient and generates a corresponding nutritional management plan. This ease of implementation and monitoring helps improve work efficiency and reduces errors caused by human factors. By providing patients with precise and personalized guidance on protein requirements, this technical solution helps accelerate their recovery. Adequate protein intake plays an important role in maintaining muscle mass, promoting tissue repair, and boosting immunity. Therefore, this technical solution has a significant impact in supporting patient recovery.

[0135] In summary, the technical effects of the above-mentioned technical solutions in terms of performance indicators are mainly reflected in high customization, improved accuracy, dynamic adaptability, scientificity and professionalism, easy implementation and monitoring, and promotion of patient recovery.

[0136] In one embodiment of the present invention, obtaining the basic protein requirement using the benchmark protein requirement and the benchmark protein requirement coefficient includes:

[0137] Step 1: extracting the patient's corresponding baseline protein requirement and baseline protein requirement coefficient;

[0138] Step 2: Obtain basic protein requirement using the benchmark protein requirement and the benchmark protein requirement coefficient, wherein the basic protein requirement is obtained by the following formula:

[0139]

[0140] Wherein, B represents the basic protein requirement; K represents the benchmark protein requirement coefficient; B r Indicates the patient's corresponding baseline protein requirement.

[0141] The above technical solution works by extracting the patient's baseline protein requirement and baseline protein requirement coefficient from previously calculated or stored data. These two parameters are calculated in the previous step based on factors such as the patient's age, gender, body mass index (BMI), and possible disease status.

[0142] The patient's basal protein requirement is calculated using the extracted baseline protein requirement and the baseline protein requirement coefficient using the formula B = (1 + K) * Br. This formula is simple and straightforward, multiplying the baseline protein requirement by a coefficient to adjust the baseline protein requirement to more accurately reflect the patient's actual protein needs.

[0143] The above technical solution achieves the following: By comprehensively considering multiple patient factors (such as age, gender, BMI, and disease status), the calculated basal protein requirement more accurately reflects the patient's actual nutritional needs. This helps provide patients with personalized nutritional management plans and promote their health recovery. The introduction of the baseline protein requirement coefficient makes the calculation of the basal protein requirement more precise and flexible. It can be adjusted according to the patient's specific situation, avoiding the "one-size-fits-all" problem of traditional nutritional management and improving the accuracy and effectiveness of nutritional management. Providing patients with personalized nutritional management plans can reduce unnecessary nutritional supplements or waste, improving the efficient use of medical resources. Furthermore, accurate nutritional management helps reduce the risk of complications and alleviates the medical burden. Accurate calculation of the basal protein requirement provides patients with scientific nutritional guidance, helping to meet their nutritional needs for physical recovery and health maintenance. This helps promote patients' physical recovery and improve their quality of life. Explaining the calculation method and results of the basal protein requirement to patients can enhance communication and trust between doctors and patients. Patients can better understand their nutritional needs and actively cooperate with their doctors' treatment and nutritional management plans.

[0144] In short, this technical solution provides a scientific basis for personalized nutritional management by accurately calculating the patient's basic protein requirements, which helps to improve the accuracy and effectiveness of nutritional management and promote the patient's healthy recovery.

[0145] In one embodiment of the present invention, activity data of a patient is obtained during a preset trial monitoring period, and a protein requirement compensation amount is obtained using the activity data of the patient in combination with a first compensation factor and a second compensation factor, including:

[0146] S201, retrieve the preset test monitoring time period;

[0147] S202. Controlling the nutrition management platform to obtain the patient's daily activity data in real time through a motion information collection device worn by the patient during a preset trial monitoring period, wherein the activity data includes the number of exercise steps, activity duration, energy consumption, and heart rate data;

[0148] S203: Perform data cleaning on the activity data to remove unreasonable data information in the activity data;

[0149] S204, extracting the amount of unreasonable data information in the activity data;

[0150] S205: Compare the amount of unreasonable data information in the activity data with a preset data amount threshold;

[0151] S206: When the amount of unreasonable data information in the activity data exceeds a preset data amount threshold, recollect the activity data;

[0152] S207: Obtain protein requirement compensation using the exercise step count, activity duration, energy consumption, and heart rate data.

[0153] The working principle of the above technical solution is as follows: The system sets a preset trial monitoring period to monitor and collect patient activity data within the specified timeframe. During this preset trial monitoring period, the nutrition management platform collects real-time activity data from the patient using the activity information collection device worn by the patient. This data, including steps, activity duration, energy expenditure, and heart rate, comprehensively reflects the patient's daily activity. Because the raw data may contain illogical or abnormal information, such as erroneous data caused by device failure or data entry errors, it requires data cleaning. This step aims to remove illogical information from the activity data to ensure the accuracy of subsequent analysis. By extracting the amount of illogical information in the activity data and comparing it with a preset data volume threshold, the system determines the data quality. If the amount of illogical information exceeds the preset threshold, the data quality is poor and re-collection is required. If the data quality does not meet the requirements, the system triggers a re-collection mechanism to ensure accurate and reliable patient activity data. Finally, using the cleaned and processed activity data, combined with the first and second compensation factors, the system calculates the patient's protein requirement compensation. This compensation amount is adjusted based on the patient's daily activities to ensure that the patient is getting enough protein to meet his or her body's needs.

[0154] The technical effect of the above technical solution: Through data cleaning and unreasonable data detection, the system can remove unreasonable and abnormal information from the original data, improving the accuracy and reliability of the data. This helps ensure the accuracy of subsequent calculations, thereby obtaining a more accurate protein requirement compensation amount. By setting a preset trial monitoring time period and a real-time data collection mechanism, this solution can efficiently obtain patients' activity data. At the same time, the data re-collection mechanism also ensures the integrity and accuracy of the data, avoiding calculation errors caused by data quality issues. Combining the patient's daily activity data and the compensation amount factor, the system can calculate a personalized protein requirement compensation amount. This helps provide patients with more precise nutritional management plans to meet their physical needs and promote health recovery. Through real-time monitoring and data analysis, patients can promptly understand their activity status and nutritional needs, thereby adjusting their lifestyle and eating habits. This helps to improve patients' health awareness and quality of life.

[0155] In summary, this technical solution provides patients with more accurate and efficient nutrition management services by optimizing data collection processes, improving data accuracy, realizing personalized nutrition management, and enhancing user experience.

[0156] In one embodiment of the present invention, obtaining the protein requirement compensation amount using the exercise step count, activity duration, energy consumption, and heart rate data includes:

[0157] S2071. At the end of the preset trial monitoring period, extracting the number of exercise steps and energy consumption from the activity data;

[0158] S2072: Obtain a first compensation factor using the number of movement steps and energy consumption, wherein the first compensation factor is obtained by the following formula:

[0159]

[0160] Among them, S 01 represents the first compensation factor; e represents the number of unit times contained in the preset test monitoring period, and the unit time is 24 hours; M i represents the energy consumption per unit time; W di The total energy corresponding to the food intake per unit time i;

[0161] S2073. At the end of the preset trial monitoring period, extracting the activity duration and heart rate data from the activity data;

[0162] S2074. Calculate a second compensation factor using the activity duration and heart rate data, wherein the second compensation factor is obtained by the following formula:

[0163]

[0164] Among them, S 02 represents the first compensation factor; e represents the number of unit times contained in the preset test monitoring time period, and the unit time is 24 hours; P xi represents the heart rate change rate per unit time; T i represents the activity duration corresponding to the i-th unit time; T d Indicates the duration corresponding to a unit of time;

[0165] S2075: Obtain protein requirement compensation using the first compensation factor and the second compensation factor.

[0166] The working principle of this technical solution is that during a preset trial monitoring period, a motion information collection device (such as a smart bracelet or smartwatch) worn by the patient collects real-time activity data. This data includes step count, activity duration, energy expenditure, and heart rate data, reflecting the patient's daily activity level and physiological status.

[0167] Secondly, at the end of the trial monitoring period, the patient's step count and energy expenditure data are extracted. A first compensation factor is calculated by comparing energy expenditure per unit time (e.g., 24 hours) with the total energy corresponding to food intake. This factor reflects the additional energy expended by the patient's activity, resulting in the need for increased protein intake. Similarly, at the end of the trial monitoring period, the patient's activity duration and heart rate data are extracted. A second compensation factor is calculated using the heart rate variability and activity duration. This factor takes into account the patient's heart rate variability, which may reflect the patient's exercise intensity or physiological stress, resulting in the need for additional protein to support recovery and repair. Finally, the first and second compensation factors are combined to calculate the protein requirement compensation. This compensation is based on the patient's actual activity level and physiological state and is intended to meet the patient's increased protein needs due to activity.

[0168] The effect of the above technical solution is: by monitoring the patient's activity data in real time and calculating the amount of protein requirement compensation, personalized management of the patient's nutritional needs is achieved. This method can more accurately reflect the patient's actual nutritional needs and avoid the "one-size-fits-all" problem of traditional nutritional management. By comprehensively considering multiple factors such as the patient's exercise steps, activity duration, energy expenditure, and heart rate data, the calculated protein requirement compensation amount is more accurate. This helps to provide patients with more scientific and reasonable nutritional advice and promote their healthy recovery.

[0169] Accurate protein requirement compensation calculation helps meet patients' increased protein needs due to activity, thereby promoting their recovery and repair. At the same time, appropriate nutritional management can also help reduce patients' risk of complications and improve their quality of life. Real-time monitoring and feedback of patients' activity data and nutritional needs can enhance patient engagement and self-management capabilities. Patients can better understand their physical condition and nutritional needs, allowing them to more actively cooperate with their doctor's treatment and nutritional management plans. Providing patients with personalized nutritional management plans can reduce unnecessary nutritional supplements or waste, improving the efficient utilization of medical resources. Furthermore, accurate nutritional management can help reduce medical costs and alleviate the burden on patients and medical institutions.

[0170] At the same time, by acquiring the patient's activity data in real time during the preset trial monitoring period, this technical solution can promptly reflect the patient's daily activity level and energy consumption. This real-time and dynamic nature helps to more accurately assess changes in the patient's protein needs and make dynamic adjustments based on actual conditions. The use of activity data in multiple dimensions, such as exercise steps, activity duration, energy consumption, and heart rate data, to calculate the amount of protein requirement compensation makes the assessment results more comprehensive and accurate. These data reflect the patient's activity intensity and physiological state from different angles, helping to improve the accuracy of protein requirement assessment.

[0171] By calculating the first and second compensation factors and combining them with the patient's specific activity data, this technical solution can provide patients with personalized protein requirement compensation. This personalized compensation method takes into account individual differences and specific activity patterns, helping to meet their actual nutritional needs. Using the above formula and parameter settings to calculate the first and second compensation factors, as well as the final protein requirement compensation, makes the entire calculation process scientific and rational. This scientific and rational approach helps improve the effectiveness of nutritional management and promote the patient's health recovery. Furthermore, medical staff only need to set a trial monitoring period and ensure that the patient wears the exercise information collection device. The system automatically collects and analyzes the data and generates a recommended protein requirement compensation amount. This easy-to-use and easy-to-implement feature helps improve work efficiency and reduce errors caused by human factors. By providing patients with accurate protein requirement compensation guidance, this technical solution helps promote their health recovery. Adequate protein intake plays an important role in maintaining muscle mass, promoting tissue repair, and boosting immunity. Therefore, this technical solution has significant technical benefits in supporting patient recovery.

[0172] To sum up, the technical effects of the above-mentioned technical solutions in terms of performance indicators are mainly reflected in real-time and dynamic performance, multi-dimensional data fusion, personalized compensation, scientificity and rationality, ease of operation and implementation, and promotion of health recovery.

[0173] In one embodiment of the present invention, obtaining the protein requirement compensation amount using the first compensation factor and the second compensation factor includes:

[0174] Step 1, extracting the patient's corresponding baseline protein requirement and basal protein requirement;

[0175] Step 2: Calculate the protein requirement compensation amount by combining the first compensation factor and the second compensation factor with the baseline protein requirement and the basic protein requirement. The protein requirement compensation amount is calculated using the following formula:

[0176]

[0177] Among them, B c Indicates the amount of protein required for compensation; S 02 represents the second compensation factor; B represents the basic protein requirement; B r Indicates the patient's corresponding baseline protein requirement; S 01 Indicates the first compensation factor.

[0178] The working principle and effect of the above technical solution are as follows: by combining the patient's baseline protein requirement, basal protein requirement and the compensation factor derived from activity data, the calculated protein requirement compensation is closer to the patient's actual nutritional needs. This helps to provide patients with a more personalized nutritional management plan. The use of scientific methods and formulas to calculate the protein requirement compensation avoids the subjectivity and arbitrariness in traditional nutritional management. This helps to improve the scientific nature and accuracy of nutritional management. Accurate protein requirement compensation helps to meet the patient's additional protein needs due to increased activity or other factors, thereby promoting their body's recovery and repair. By providing patients with personalized nutritional management plans, unnecessary nutritional supplements or waste can be reduced and the efficiency of medical resource utilization can be improved. Personalized nutritional management plans can better meet the needs of patients and improve their satisfaction and trust in medical services.

[0179] This technical solution also calculates the protein requirement compensation (Bc) by comprehensively considering the patient's baseline protein requirement (Br), basal protein requirement (B), first compensation factor (S01), and second compensation factor (S02). This comprehensive assessment method more comprehensively considers individual patient differences, basic nutritional needs, and the impact of activity level on protein requirements, resulting in a more accurate and reasonable protein requirement compensation. By introducing the first and second compensation factors, this technical solution can be personalized based on the patient's specific activity data and physiological status. This personalized adjustment helps meet the specific nutritional needs of different patients and improve the targeted and effective nutritional management. The formula design in this technical solution provides a certain degree of flexibility, allowing the values of various parameters to be adjusted according to actual conditions. For example, the calculation method of the baseline protein requirement and basal protein requirement can be adjusted based on factors such as the patient's age, gender, and health status, and the calculation weighting of the first and second compensation factors can be adjusted based on the patient's activity intensity and energy expenditure. This flexibility helps adapt to the changing needs of different patients and improves the adaptability and dynamism of nutritional management.

[0180] On the other hand, this technical solution calculates the protein requirement compensation based on scientific formulas and parameter settings, ensuring the accuracy and reliability of the calculation results. By comprehensively considering multiple factors, this technical solution can more accurately reflect the patient's actual protein needs and provide strong support for nutritional management. Medical staff only need to input the patient's relevant information and activity data, and the system will automatically calculate the protein requirement compensation and generate a corresponding nutritional management plan. This easy-to-implement feature helps improve work efficiency and reduce errors caused by human factors. At the same time, by providing patients with accurate guidance on protein requirement compensation, this technical solution helps promote their healthy recovery. Reasonable protein intake plays an important role in maintaining muscle mass, promoting tissue repair, and improving immunity. Therefore, this technical solution has a significant technical effect in supporting patient recovery.

[0181] In summary, the technical effects of the above technical solutions in terms of performance indicators are mainly reflected in comprehensive evaluation capabilities, personalized adjustment, flexibility, scientificity and accuracy, ease of implementation, and promotion of health recovery.

[0182] In one embodiment of the present invention, the basic protein requirement and the protein requirement compensation amount are used to retrieve a nutrition plan corresponding to the basic protein requirement and the protein requirement compensation amount from a database, including:

[0183] S301, inputting the patient's basic protein requirement and protein requirement compensation as input parameters into a database;

[0184] S302: The database searches according to the input parameters to find a nutrition plan corresponding to the input parameters, and obtains a plurality of nutrition plans that match the input data;

[0185] S303, retrieve the patient's corresponding allergy history information and treatment plan information input by the medical terminal;

[0186] S304. Screen the multiple nutritional plans that match the input data according to the patient's corresponding allergy history information and treatment plan information to obtain a nutritional plan that matches the patient.

[0187] The technical solution works as follows: First, a patient's basal protein requirement and protein supplement requirement are entered as key input parameters into a pre-established database. The database then intelligently searches these input parameters, comparing nutritional plans in the database with the input parameters to identify multiple nutritional plans that match the input data. These plans are constructed based on extensive data and expertise, and are designed to meet the nutritional needs of individual patients.

[0188] Before nutritional plan screening, it is also necessary to obtain the patient's allergy history and treatment plan information from the medical terminal. This information is crucial to ensuring the safety and effectiveness of the nutritional plan.

[0189] The previously retrieved matching nutritional plans are further screened based on the patient's allergy history and treatment plan information. This process eliminates nutritional plans that contain ingredients that the patient is allergic to or that conflict with the treatment plan, ensuring that the final nutritional plan meets the patient's nutritional needs and is consistent with their personalized health status.

[0190] The effect of the above technical solution is: by combining the patient's basic protein requirement, protein requirement compensation, allergy history and treatment plan information, the technical solution can generate a highly personalized nutrition plan to better meet the patient's actual needs. When screening the nutrition plan, the patient's allergy history information is fully considered, effectively avoiding adverse reactions caused by the misuse of nutritional products containing allergic ingredients, and improving the safety of nutrition management. By combining the patient's treatment plan information, the selected nutrition plan can complement the treatment plan, promote the patient's recovery process, and improve the overall effect of nutrition management. Through intelligent retrieval and screening functions, this technical solution can quickly and accurately provide patients with suitable nutrition plans, reduce the workload of medical staff, and improve the utilization efficiency of medical resources. Personalized nutrition plans can better meet the needs of patients, improve their quality of life, and thus enhance patients' satisfaction and trust in medical services.

[0191] The embodiment of the present invention proposes a nutrition management system for cancer patients based on multi-objective optimization, such as Figure 2 As shown, the nutrition management system for cancer patients includes:

[0192] A basic protein requirement acquisition module is used to collect basic data information of the patient and obtain the basic protein requirement of the patient based on the basic data information of the patient in combination with the baseline protein requirement, the first correction factor and the second correction factor;

[0193] a protein requirement compensation amount acquisition module, configured to acquire the patient's activity data within a preset trial monitoring period, and to acquire the protein requirement compensation amount by using the patient's activity data in combination with a first compensation amount factor and a second compensation amount factor;

[0194] The nutrition plan acquisition module is used to use the basic protein requirement and the protein requirement compensation amount to retrieve a nutrition plan corresponding to the basic protein requirement and the protein requirement compensation amount from a database.

[0195] The working principle of the above technical solution is: this step first collects the patient's basic data information, including but not limited to age, gender, weight, height, etc.

[0196] Based on these basic data, nutritional principles and calculation formulas are used to estimate the patient's basal protein requirement, which reflects the amount of protein the patient needs to maintain basic physiological functions at rest.

[0197] During a pre-set trial monitoring period, patients will be provided with real-time activity data collected through a motion data collection device (such as a smart bracelet or smartwatch). This data includes steps, activity duration, activity type, heart rate, and energy expenditure. Advanced algorithms and models are used to analyze the patient's activity data and calculate the additional protein requirement due to increased physical activity, known as the protein requirement compensation. This compensation is designed to meet the patient's additional nutritional needs resulting from increased activity.

[0198] The patient's total protein requirement is calculated by adding the basal protein requirement and the protein requirement compensation. Based on this total requirement, a corresponding nutritional plan is retrieved from a pre-established database. The plans in the database should cover a variety of ingredient combinations, nutrient ratios, and cooking methods to meet the individual needs of different patients.

[0199] In actual application, the nutritional plan can also be fine-tuned according to factors such as the patient's taste preferences and dietary taboos to ensure its feasibility and patient acceptance.

[0200] The effect of the above technical solution is: by collecting the patient's basic data information and activity data, an accurate assessment of the patient's nutritional needs is achieved. This helps to avoid overnutrition or undernutrition and improve the effectiveness and safety of nutritional management. Based on the patient's specific needs and situation, the corresponding nutritional plan is retrieved from the database and personalized adjustments are made. This helps to meet the patient's special needs and improve the pertinence and effectiveness of their nutritional intake. By providing a scientific and reasonable nutritional plan, it helps to improve the patient's nutritional status and quality of life. This helps to enhance the patient's immunity and resistance and promote recovery and prognosis of the disease. Through precise and personalized nutritional management, unnecessary medical expenses and waste can be reduced. At the same time, good nutritional status also helps to shorten the patient's hospitalization time and recovery cycle, further reducing medical costs. This technical solution requires the patient to actively participate and provide relevant data and information, which helps to enhance communication and cooperation between doctors and patients.

[0201] Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if such changes and modifications fall within the scope of the claims and their equivalents, the present invention is intended to include such changes and modifications.

Claims

1. A method for nutritional management of cancer patients based on multi-objective optimization, characterized in that: The method for nutritional management of tumor patients comprises: Basic data information of the patient is collected, and the basic protein requirement of the patient is obtained based on the basic data information combined with a baseline protein requirement, a first correction factor, and a second correction factor; wherein the baseline protein requirement is obtained by combining the difference between the current patient's weight and the weight at the last physical examination contained in the basic data information with the unit protein weight; the first correction factor is obtained by combining the patient's age information and gender information contained in the basic data information; the second correction factor is obtained by combining the patient's body mass index (BMI) contained in the basic data information; and the basic protein requirement is obtained by combining a baseline protein requirement coefficient generated by combining the first correction factor and the second correction factor with the baseline protein requirement, wherein the basic protein requirement is obtained by the following formula: B=(1+K)·B r Wherein, B represents the basic protein requirement; K represents the benchmark protein requirement coefficient; B r represents the patient's corresponding baseline protein requirement; obtaining the patient's activity data within a preset trial monitoring period, and using the patient's activity data in combination with a first compensation factor and a second compensation factor to obtain a protein requirement compensation; wherein the first compensation factor is obtained by the number of exercise steps and energy consumption included in the activity data; the second compensation factor is obtained by the activity duration and heart rate data included in the activity data, and the protein requirement compensation is obtained by the following formula: Among them, B c Indicates the amount of protein required for compensation; S 02 represents the second compensation factor; B represents the basic protein requirement; B r Indicates the patient's corresponding baseline protein requirement; S 01 represents the first compensation factor; The basic protein requirement and the protein requirement compensation amount are used to retrieve a nutrition plan corresponding to the basic protein requirement and the protein requirement compensation amount from a database.

2. The method for nutritional management of cancer patients based on multi-objective optimization according to claim 1, characterized in that: Collecting the patient's basic data information, and obtaining the patient's basic condition assessment results based on the patient's basic data information in combination with the baseline protein requirement, the first correction factor, and the second correction factor, including: Control the nutrition management platform to set the first basic data information collection time interval and the second basic data collection time interval; Controlling the nutrition management platform to collect basic data information of the patient from the medical terminal in an alternating manner according to the first basic data information collection time interval and the second basic data collection time interval; wherein the basic data information includes age, gender, height, weight and body mass index (BMI); The first basic data information collection time interval and the second basic data collection time interval meet the following time length constraints: 1.8T 02 <T 01 <3.2T 02 Among them, T 01 represents the first basic data information collection time interval; T 02 Indicates the second basic data information collection time interval; The control nutrition management platform obtains the patient's basic protein requirement according to the patient's basic data information combined with the benchmark protein requirement, the first correction factor and the second correction factor.

3. The method for nutritional management of cancer patients based on multi-objective optimization according to claim 2, characterized in that: The control nutrition management platform obtains the patient's basic protein requirement based on the patient's basic data information, the baseline protein requirement, the first correction factor, and the second correction factor, including: The baseline protein requirement is obtained according to the patient's weight information, wherein the baseline protein requirement is obtained by the following formula: Among them, B r Indicates the patient's corresponding baseline protein requirement; m z Indicates unit protein weight, the value range of unit protein weight is 0.5g / kg-0.8g / kg; M h Indicates the current patient's weight; M x Indicates the weight of the patient's last physical examination stored in the medical terminal; Obtaining a correction factor using the patient's age information, gender information, and body mass index (BMI), and obtaining a baseline protein requirement coefficient using the correction factor; The basic protein requirement is obtained using the benchmark protein requirement and the benchmark protein requirement coefficient.

4. The method for nutritional management of cancer patients based on multi-objective optimization according to claim 3, characterized in that: The correction factor is obtained using the patient's age information, gender information, and body mass index (BMI), and the baseline protein requirement coefficient is obtained using the correction factor, including: Extract the patient's age and gender information; The first correction factor is obtained using the patient's age information and gender information; wherein the first correction factor is obtained by the following formula: Among them, K 01 represents the first correction factor; N represents the patient's age; m z represents the unit protein weight, and the value range of the unit protein weight is 0.5g / kg-0.8g / kg; k represents the first adjustment coefficient; v represents the second adjustment coefficient; wherein, the first adjustment coefficient and the second adjustment coefficient are obtained by the following formula: Wherein, k represents the first adjustment coefficient; v represents the second adjustment coefficient; B represents the duration of the patient's illness; N represents the patient's age; k0 represents the baseline parameter, and the value range is 0.048-0.052; P m represents the average weight change rate of each physical examination after the patient becomes ill; P r It represents the average rate of change of muscle content in each physical examination after the patient becomes ill; Extract the patient's body mass index (BMI); The second correction factor is obtained using the patient's body mass index (BMI); wherein the second correction factor is obtained by the following formula: Among them, K 02 Indicates the second correction factor; BIM indicates the specific value corresponding to BIM; The first correction factor and the second correction factor are used to obtain a baseline protein requirement coefficient; wherein the baseline protein requirement coefficient is obtained by the following formula: Where K represents the baseline protein requirement coefficient; K 01 Represents the first correction factor; K 02 Indicates the second correction factor; B r Indicates the patient's corresponding baseline protein requirement.

5. The method for nutritional management of cancer patients based on multi-objective optimization according to claim 3, characterized in that: Obtaining the basic protein requirement using the benchmark protein requirement and the benchmark protein requirement coefficient includes: Extracting the baseline protein requirement and baseline protein requirement coefficient corresponding to the patient; The basic protein requirement is obtained using the benchmark protein requirement and the benchmark protein requirement coefficient.

6. The method for nutritional management of cancer patients based on multi-objective optimization according to claim 1, characterized in that: Acquiring activity data of the patient during a preset trial monitoring period, and using the activity data of the patient in combination with a first compensation factor and a second compensation factor to obtain a protein requirement compensation amount, including: Retrieve the preset test monitoring time period; During a preset trial monitoring period, the nutrition management platform is controlled to obtain the patient's daily activity data in real time through the motion information collection device worn by the patient, wherein the activity data includes the number of steps, activity duration, energy consumption and heart rate data; Performing data cleaning on the activity data to remove unreasonable data information in the activity data; The amount of data that extracts unreasonable data information from activity data; Comparing the amount of unreasonable data information in the activity data with a preset data amount threshold; When the amount of unreasonable data information in the activity data exceeds a preset data amount threshold, the activity data is recollected; The protein requirement compensation amount is obtained using the exercise step count, activity duration, energy consumption and heart rate data.

7. The method for nutritional management of cancer patients based on multi-objective optimization according to claim 6, characterized in that: The protein requirement compensation amount is obtained using the exercise step count, activity duration, energy consumption and heart rate data, including: At the end of the preset trial monitoring period, extracting the number of steps and energy consumption from the activity data; The first compensation factor is obtained by using the number of movement steps and energy consumption, wherein the first compensation factor is obtained by the following formula: Among them, S 01 represents the first compensation factor; e represents the number of unit times contained in the preset test monitoring period, and the unit time is 24 hours; M i represents the energy consumption per unit time; W di The total energy corresponding to the food intake per unit time i; At the end of the preset trial monitoring time period, extracting the activity duration and heart rate data from the activity data; The activity duration and heart rate data are used to obtain a second compensation factor, wherein the second compensation factor is obtained by the following formula: Among them, S 02 represents the first compensation factor; e represents the number of unit times contained in the preset test monitoring time period, and the unit time is 24 hours; P xi represents the heart rate change rate per unit time; T i represents the activity duration corresponding to the i-th unit time; T d Indicates the duration corresponding to a unit of time; The protein requirement compensation amount is obtained using the first compensation amount factor and the second compensation amount factor.

8. The method for nutritional management of cancer patients based on multi-objective optimization according to claim 7, characterized in that: Obtaining the protein requirement compensation amount using the first compensation factor and the second compensation factor includes: Extract the patient's corresponding baseline protein requirement and basal protein requirement; The protein requirement compensation amount is obtained by combining the first compensation factor and the second compensation factor with the baseline protein requirement amount and the basic protein requirement amount.

9. The method for nutritional management of cancer patients based on multi-objective optimization according to claim 1, characterized in that: The basic protein requirement and the protein requirement compensation amount are used to retrieve a nutrition plan corresponding to the basic protein requirement and the protein requirement compensation amount from a database, comprising: The patient's basal protein requirement and protein requirement compensation are input into the database as input parameters; The database is searched according to the input parameters, searching for a nutrition plan corresponding to the input parameters, and obtaining a plurality of nutrition plans matching the input parameters; Retrieve the patient's corresponding allergy history information and treatment plan information input by the medical terminal; The multiple nutritional plans that match the input parameters are screened according to the patient's corresponding allergy history information and treatment plan information to obtain a nutritional plan that matches the patient.

10. A nutrition management system for cancer patients based on multi-objective optimization, characterized in that: The tumor patient nutrition management system comprises: A basic protein requirement acquisition module is used to collect basic data information of the patient, and obtain the basic protein requirement of the patient based on the basic data information combined with the baseline protein requirement, the first correction factor and the second correction factor; wherein the baseline protein requirement is obtained by combining the difference between the current patient's weight and the weight at the last physical examination contained in the basic data information with the unit protein weight; the first correction factor is obtained by combining the patient's age information and gender information contained in the basic data information; the second correction factor is obtained by combining the patient's body mass index (BMI) contained in the basic data information; and the basic protein requirement is obtained by combining the baseline protein requirement coefficient generated by the first correction factor and the second correction factor with the baseline protein requirement, wherein the basic protein requirement is obtained by the following formula: B=(1+K)·B r Wherein, B represents the basic protein requirement; K represents the benchmark protein requirement coefficient; B r Indicates the patient's corresponding baseline protein requirement; The protein requirement compensation acquisition module is used to obtain the patient's activity data within a preset trial monitoring time period, and use the patient's activity data in combination with a first compensation factor and a second compensation factor to obtain the protein requirement compensation; wherein the first compensation factor is obtained by the number of exercise steps and energy consumption included in the activity data; the second compensation factor is obtained by the activity duration and heart rate data included in the activity data, and the protein requirement compensation is obtained by the following formula: Among them, B c Indicates the amount of protein required for compensation; S 02 represents the second compensation factor; B represents the basic protein requirement; B r Indicates the patient's corresponding baseline protein requirement; S 01 represents the first compensation factor; The nutrition plan acquisition module is used to use the basic protein requirement and the protein requirement compensation amount to retrieve a nutrition plan corresponding to the basic protein requirement and the protein requirement compensation amount from a database.

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