Disclosure of Invention
The invention provides a tumor patient nutrition management method and system based on multi-objective optimization, which are used for solving the problems that the nutrition management accuracy in the prior art is lower and can not be matched with the actual situation of a patient, and the adopted technical scheme is as follows:
A tumor patient nutrition management method based on multi-objective optimization, the tumor patient nutrition management method comprising:
collecting basic data information of a patient, and acquiring the basic protein demand of the patient according to the basic data information of the patient and combining the basic protein demand, the first correction factor and the second correction factor;
Acquiring activity data of a patient in a preset test monitoring time period, and acquiring protein demand compensation quantity by combining the activity data of the patient with a first compensation quantity factor and a second compensation quantity factor;
Retrieving a nutritional regimen corresponding to the basal protein demand and the protein demand offset from a database using the basal protein demand and the protein demand offset.
Further, collecting basic data information of a patient, and acquiring a basic condition evaluation result of the patient according to the basic data information of the patient and combining a basic protein demand, a first correction factor and a second correction factor, wherein the basic condition evaluation result comprises:
Controlling a nutrition management platform to set a first basic data information acquisition time interval and a second basic data acquisition time interval;
The nutrition management platform is controlled to acquire basic data information of a patient from the medical terminal according to a mode that the first basic data information acquisition time interval and the second basic data acquisition time interval are used alternately, wherein the basic data information comprises age, gender, height, weight and body mass index BMI;
Wherein, the first basic data information acquisition time interval and the second basic data acquisition time interval satisfy the following time length constraint adjustment:
1.8T02<T01<3.2T02
Wherein T01 represents a first basic data information acquisition time interval, T02 represents a second basic data information acquisition time interval;
and controlling the nutrition management platform to acquire the basic protein demand of the patient according to the basic data information of the patient and combining the basic protein demand, the first correction factor and the second correction factor.
Further, controlling the nutrition management platform to obtain the basal protein demand of the patient according to the basal data information of the patient and combining the basal protein demand, the first correction factor and the second correction factor, wherein the method comprises the following steps:
obtaining a reference protein demand according to the weight information of the patient, wherein the reference protein demand is obtained by the following formula:
wherein Br represents the corresponding reference protein demand of the patient, Mz represents the gram weight of the unit protein, the value range of the gram weight of the unit protein is 0.5g/kg-0.8g/kg, Mh represents the weight of the current patient, and Mx represents the weight corresponding to the last physical examination of the patient stored in the medical terminal;
Acquiring a correction factor by using the age information, sex information and body mass index BMI of the patient, and acquiring a reference protein demand coefficient by using the correction factor;
and obtaining the basic protein demand by using the basic protein demand and the basic protein demand coefficient.
Further, obtaining a correction factor using the age information, sex information and body mass index BMI of the patient, and obtaining a reference protein demand coefficient using the correction factor, comprising:
extracting age information and sex information of a patient;
acquiring a first correction factor by using the age information and the sex information of the patient, wherein the first correction factor is acquired by the following formula:
Wherein K01 represents a first correction factor, N represents the age of a patient, mz represents the gram weight of unit protein, the value range of the gram weight of unit protein is 0.5g/kg-0.8g/kg, K represents a first adjustment coefficient, v represents a second adjustment coefficient, and the first adjustment coefficient and the second adjustment coefficient are obtained through the following formula:
Wherein k represents a first adjustment coefficient, v represents a second adjustment coefficient, B represents the duration of time of illness of a patient, N represents the age of the patient, k0 represents a reference parameter, the value range of which is 0.048-0.052, preferably 0.05, Pm represents the average value of the weight change rate of each physical examination of the patient after illness, and Pr represents the average value of the muscle content change rate of each physical examination of the patient after illness;
Extracting the body mass index BMI of the patient;
Obtaining a second correction factor by using the BMI of the patient, wherein the second correction factor is obtained by the following formula:
Wherein, K02 represents a second correction factor, BIM represents a specific numerical value corresponding to BIM;
Obtaining a reference protein demand coefficient by using the first correction factor and the second correction factor, wherein the reference protein demand coefficient is obtained by the following formula:
where K represents a baseline protein demand coefficient, K01 represents a first correction factor, K02 represents a second correction factor, and Br represents a patient's corresponding baseline protein demand.
Further, obtaining a base protein demand using the base protein demand and the base protein demand coefficient, comprising:
extracting a reference protein demand and a reference protein demand coefficient corresponding to the patient;
Obtaining a basal protein demand using the basal protein demand and a basal protein demand coefficient, wherein the basal protein demand is obtained by the following formula:
Wherein B represents basal protein demand, K represents basal protein demand coefficient, and Br represents basal protein demand corresponding to the patient.
Further, acquiring activity data of a patient in a preset trial monitoring period, and acquiring a protein demand compensation amount by combining the activity data of the patient with a first compensation amount factor and a second compensation amount factor, wherein the method comprises the following steps:
Calling a preset test monitoring time period;
Controlling a nutrition management platform to acquire daily activity data of a patient through a movement information acquisition device worn by the patient in real time in a preset test monitoring time period, wherein the activity data comprise movement steps, activity duration, energy consumption and heart rate data;
performing data cleaning treatment on the activity data to remove unreasonable data information in the activity data;
extracting the data quantity of unreasonable data information in the activity data;
comparing the data volume of unreasonable data information in the activity data with a preset data volume threshold;
When the data volume of unreasonable data information in the activity data exceeds a preset data volume threshold, re-acquisition of the activity data is performed;
And acquiring protein demand compensation quantity by using the exercise step number, the activity duration, the energy consumption and the heart rate data.
Further, using the athletic step count, activity duration, energy expenditure, and heart rate data to obtain a protein demand offset, comprising:
extracting the number of exercise steps and energy consumption in the activity data at the end time of a preset trial monitoring time period;
Obtaining a first compensation quantity factor by using the motion step number and the energy consumption, wherein the first compensation quantity factor is obtained by the following formula:
Wherein S01 represents a first compensation quantity factor, e represents the number of unit time contained in a preset test monitoring time period, and the unit time is 24h, Mi represents the energy consumption of the ith unit time, and Wdi represents the total energy corresponding to the food intake of the ith unit time;
Extracting the activity duration and heart rate data in the activity data at the end time of a preset test monitoring time period;
and taking a second compensation quantity factor by using the activity duration and the heart rate data, wherein the second compensation quantity factor is obtained by the following formula:
Wherein S02 represents a first compensation quantity factor, e represents the number of unit time contained in a preset test monitoring time period, the unit time is 24h, Pxi represents the heart rate change rate of the ith unit time, Ti represents the activity duration corresponding to the ith unit time, and Td represents the duration corresponding to the unit time;
And obtaining the protein demand compensation amount by using the first compensation amount factor and the second compensation amount factor.
Further, obtaining the protein demand offset using the first offset factor and the second offset factor comprises:
extracting a reference protein demand and a basic protein demand corresponding to a patient;
obtaining a protein demand offset using the first offset factor and the second offset factor in combination with a baseline protein demand and a base protein demand, wherein the protein demand offset is obtained by the following formula:
wherein Bc represents the protein demand offset, S02 represents the second offset factor, B represents the basal protein demand, Br represents the patient' S corresponding basal protein demand, and S01 represents the first offset factor.
Further, retrieving a nutritional regimen corresponding to the basal protein demand and protein demand offset from a database using the basal protein demand and protein demand offset, comprising:
inputting basic protein demand and protein demand compensation of a patient into a database as input parameters;
the database searches according to the input parameters, searches nutrition schemes corresponding to the input parameters, and obtains a plurality of nutrition schemes matched with the input data;
The method comprises the steps of calling allergy history information and treatment scheme information corresponding to a patient input by a medical terminal;
and screening the nutrition schemes matched with the input data according to the allergy history information and the treatment scheme information corresponding to the patient to obtain the nutrition scheme matched with the patient.
A tumor patient nutrition management system based on multi-objective optimization, the tumor patient nutrition management system comprising:
The basic protein demand acquisition module is used for collecting basic data information of a patient and acquiring the basic protein demand of the patient according to the basic data information of the patient by combining the basic protein demand, the first correction factor and the second correction factor;
the protein demand compensation quantity acquisition module is used for acquiring activity data of a patient in a preset test monitoring time period and acquiring protein demand compensation quantity by combining the activity data of the patient with a first compensation quantity factor and a second compensation quantity factor;
And the nutrition scheme acquisition module is used for utilizing the basic protein demand and the protein demand compensation to call the nutrition scheme corresponding to the basic protein demand and the protein demand compensation from the database.
The invention has the beneficial effects that:
According to the tumor patient nutrition management method and system based on multi-objective optimization, accurate assessment of patient nutrition requirements is achieved through collecting basic data information and activity data of patients. This helps to avoid the occurrence of overnutrition or undernutrition, and to improve the effectiveness and safety of nutrition management. Based on the specific requirements and conditions of the patient, the nutrition scheme corresponding to the requirements and conditions is called from the database, and personalized adjustment is carried out. This helps to meet the specific needs of the patient and improves the pertinence and effectiveness of their nutrient intake. By providing a scientific and reasonable nutrition scheme, the nutrition condition and the life quality of the patient can be improved. This helps to enhance the patient's immunity and resistance, promoting recovery from and prognosis of the disease. Through accurate and personalized nutrition management, unnecessary medical expenditure and waste can be reduced. Meanwhile, the good nutritional status is also helpful for shortening the hospitalization time and rehabilitation period of the patient, and further reducing the medical cost. This solution requires the patient to actively participate and provide relevant data and information, which helps to enhance the communication and collaboration between the doctor and patient.
Detailed Description
The preferred embodiments of the present invention will be described below with reference to the accompanying drawings, it being understood that the preferred embodiments described herein are for illustration and explanation of the present invention only, and are not intended to limit the present invention.
The embodiment of the invention provides a tumor patient nutrition management method based on multi-objective optimization, as shown in fig. 1, the tumor patient nutrition management method comprises the following steps:
S1, collecting basic data information of a patient, and acquiring the basic protein demand of the patient according to the basic data information of the patient and combining the basic protein demand, a first correction factor and a second correction factor;
S2, acquiring activity data of a patient in a preset test monitoring time period, and acquiring protein demand compensation quantity by combining the activity data of the patient with a first compensation quantity factor and a second compensation quantity factor;
s3, retrieving a nutrition scheme corresponding to the basic protein demand and the protein demand compensation from a database by utilizing the basic protein demand and the protein demand compensation.
The working principle of the technical scheme is that basic data information of a patient including but not limited to age, gender, weight, height and the like is collected at first.
Based on these basic data, the basic protein demand of the patient is estimated using the nutritional principles and computational formulas. This demand reflects the amount of protein required by the patient to maintain basic physiological functions in a resting state.
And in a preset test monitoring time period, acquiring the activity data of the patient in real time through a motion information acquisition device (such as a smart bracelet, a smart watch and the like) worn by the patient. Such activity data includes number of steps, duration of activity, type of activity, heart rate, energy expenditure, etc. The patient's activity data is analyzed using advanced algorithms and models to calculate additional protein demand, i.e., protein demand compensation, due to increased physical activity. This amount of compensation is intended to meet the additional nutritional needs of the patient due to increased activity.
Adding the basic protein demand and the protein demand offset to obtain the total protein demand of the patient. Based on this total demand, the nutritional regimen corresponding thereto is retrieved from a pre-established database. The nutritional schemes in the database should cover various food combinations, nutrient ratios and cooking modes to meet the individual needs of different patients.
In practical application, the nutrition scheme can be finely adjusted according to the taste preference, diet tabu and other factors of the patient so as to ensure the feasibility and the acceptance of the patient.
The technical scheme has the advantage that accurate assessment of the nutritional requirements of the patient is realized by collecting basic data information and activity data of the patient. This helps to avoid the occurrence of overnutrition or undernutrition, and to improve the effectiveness and safety of nutrition management. Based on the specific requirements and conditions of the patient, the nutrition scheme corresponding to the requirements and conditions is called from the database, and personalized adjustment is carried out. This helps to meet the specific needs of the patient and improves the pertinence and effectiveness of their nutrient intake. By providing a scientific and reasonable nutrition scheme, the nutrition condition and the life quality of the patient can be improved. This helps to enhance the patient's immunity and resistance, promoting recovery from and prognosis of the disease. Through accurate and personalized nutrition management, unnecessary medical expenditure and waste can be reduced. Meanwhile, the good nutritional status is also helpful for shortening the hospitalization time and rehabilitation period of the patient, and further reducing the medical cost. This solution requires the patient to actively participate and provide relevant data and information, which helps to enhance the communication and collaboration between the doctor and patient.
In one embodiment of the present invention, collecting basic data information of a patient, and acquiring a basic condition evaluation result of the patient according to the basic data information of the patient in combination with a reference protein demand, a first correction factor and a second correction factor, includes:
S101, controlling a nutrition management platform to set a first basic data information acquisition time interval and a second basic data acquisition time interval;
S102, controlling a nutrition management platform to acquire basic data information of a patient from a medical terminal according to a mode that the first basic data information acquisition time interval and the second basic data acquisition time interval are used alternately, wherein the basic data information comprises age, gender, height, weight and body mass index BMI;
Wherein, the first basic data information acquisition time interval and the second basic data acquisition time interval satisfy the following time length constraint adjustment:
1.8T02<T01<3.2T02
Wherein T01 represents a first basic data information acquisition time interval, T02 represents a second basic data information acquisition time interval;
and S103, controlling the nutrition management platform to acquire the basic protein demand of the patient according to the basic data information of the patient and combining the basic protein demand, the first correction factor and the second correction factor.
The technical scheme has the working principle that the step relates to information interaction 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, and the basic data information of the patient is required to be acquired. After receiving the request, the medical terminal extracts the needed basic data information from the electronic medical record, health file or other related systems of the patient, including age, sex, height, weight, body Mass Index (BMI) and the like. After the extraction is completed, the medical terminal sends the basic data information back to the nutrition management platform for subsequent processing and analysis.
After receiving the patient's basal data information, the nutritional management platform calculates the patient's basal protein demand from these information using built-in algorithms or formulas. The specific calculation may be based on nutritional principles, such as estimating the basal protein demand of the patient based on the patient's body weight and BMI, in combination with certain protein intake criteria (e.g., grams of protein per kilogram of body weight). The calculation will be used as part of the patient base condition assessment for subsequent nutritional regimen formulation and adjustment.
The technical scheme has the advantages that the automatic acquisition and processing of the basic data information of the patient are realized through the integration of the nutrition management platform and the medical terminal. This improves the efficiency and accuracy of data collection, reducing the likelihood of human entry errors. Based on basic data information of patients, the basic protein demand of the patients can be accurately calculated, and personalized assessment results are provided for subsequent nutrition management. This helps to formulate a nutritional regimen that better fits the patient's actual situation. Through automated and accurate data processing, the medical facility can better understand the nutritional needs of the patient, thereby optimizing the configuration and use of medical resources. For example, the services of nutritional consultation, meal adjustment and the like can be reasonably arranged according to the nutritional requirement condition of the patient. Personalized nutritional assessment results help to promote patient satisfaction and compliance. The patient can feel the attention and importance of the medical institution on the nutrition requirement of the patient, so that the treatment and rehabilitation plan can be matched more actively. With the continuous accumulation and analysis of basic data information, medical institutions can continuously optimize and perfect their nutrition management methods. By comparing the assessment results and nutritional intervention effects of different patients, more effective nutritional management strategies and practical experience can be summarized. Moreover, the basic data information collected comprises key information such as age, sex, height, weight and body mass index BMI, which is important for assessing the nutritional status and the requirements of the patients. By collecting this information comprehensively, the protocol provides reliable data support for subsequent calculation of the patient's basal protein demand. Based on the patient's basal data information, in combination with the basal protein requirement, the first correction factor and the second correction factor, the protocol is capable of calculating the basal protein requirement for the patient. The personalized calculation method fully considers the individual difference and the nutrition requirement of the patient, and provides a basis for formulating a more accurate nutrition management scheme. Through the technical scheme, the nutrition management platform can more effectively manage and utilize the data information of the patient, and more personalized nutrition advice and management scheme is provided for the patient. This not only improves the efficiency of nutrition management, but also significantly improves the management effect, contributing to improving the nutritional status and health level of the patient.
On the other hand, by setting the first basic data information acquisition time interval (T01) and the second basic data acquisition time interval (T02) and acquiring basic data information of a patient to the medical terminal in an alternate use manner, the scheme realizes the flexibility of data acquisition. The alternate acquisition mode can balance the frequency of data acquisition and the consumption of system resources, and ensure that enough data is acquired to support subsequent analysis and decision on the premise of not excessively occupying the system resources. At the same time, by setting the time length constraint adjustment (1.8T02 < T01 < 3.2T02), this scheme ensures the rationality and accuracy of the data acquisition time interval. The adjusting mechanism can flexibly adjust the frequency of data acquisition according to the specific condition and medical requirement of a patient so as to better meet the requirement of practical application.
In summary, the technical scheme realizes comprehensive monitoring and management of the nutritional status of the patient through multiple aspects of flexible data acquisition strategy, accurate time interval adjustment, comprehensive basic data information collection, personalized protein demand calculation, improvement of the efficiency and effect of nutrition management and the like.
In one embodiment of the present invention, controlling the nutrition management platform to obtain the basal protein demand of the patient according to the basal data information of the patient in combination with the basal protein demand, the first correction factor and the second correction factor comprises:
S1021, acquiring a reference protein demand according to the weight information of the patient, wherein the reference protein demand is acquired by the following formula:
wherein Br represents the corresponding reference protein demand of the patient, Mz represents the gram weight of the unit protein, the value range of the gram weight of the unit protein is 0.5g/kg-0.8g/kg, Mh represents the weight of the current patient, and Mx represents the weight corresponding to the last physical examination of the patient stored in the medical terminal;
s1022, acquiring a correction factor by using the age information, the sex information and the body mass index BMI of the patient, and acquiring a reference protein demand coefficient by using the correction factor;
s1023, obtaining the basic protein demand by using the basic protein demand and the basic protein demand coefficient.
The working principle of the technical scheme is that a preliminary reference protein demand is calculated based on the weight information of the patient. Here, the gram weight of unit protein is used as a calculation factor, and the value thereof is usually in the range of 0.5g/kg to 0.8g/kg, and the specific value may be adjusted according to the specific condition (such as age, sex, activity level, etc.) of the patient. The current patient's weight is one of the key parameters in calculating the basal protein demand. Meanwhile, in order to consider the change condition of the weight of the patient, the weight of the patient when the patient performs physical examination last time is also introduced as a reference. The baseline protein demand is calculated by multiplying the unit protein grammage by the current patient's weight.
After obtaining the reference protein demand, it is necessary to acquire a correction factor using age information, sex information, and Body Mass Index (BMI) of the patient in order to more accurately reflect the actual protein demand of the patient. The calculation of correction factors may be based on a complex set of nutritional principles and statistics, aimed at taking into account the effects of different age groups, gender and BMI levels on protein demand. By applying the correction factor to the benchmark protein demand, a more accurate benchmark protein demand coefficient may be obtained.
And finally, multiplying the reference protein demand by a reference protein demand coefficient to obtain the basic protein demand of the patient. The demand is closer to the actual nutritional requirements of patients, and provides important basis for subsequent nutrition management and intervention.
The technical scheme has the effect that the personalized evaluation of the basic protein demand of the patient is realized by comprehensively considering a plurality of factors such as the weight, the age, the sex, the BMI and the like of the patient. The assessment method is more scientific and accurate, and is helpful for making a nutrition scheme which is more in line with the actual situation of the patient. The weight of the patient in the last physical examination is introduced as a reference, and the gram weight of the unit protein and the correction factor can be timely adjusted along with the change of the weight and the physical condition of the patient, so that the continuous effectiveness of the nutrition scheme is ensured. By accurately calculating the basal protein demand of the patient, a more specific goal and direction is provided for nutrition management. This helps to reduce the occurrence of overnutrition or undernutrition and to improve the accuracy and effectiveness of nutrient management. The personalized nutrition management scheme is helpful for meeting the actual nutrition requirements of patients and promoting physical rehabilitation and health maintenance of the patients. Meanwhile, through scientific nutrition management, the risk of complications of patients can be reduced, and the life quality of the patients can be improved. Accurate nutrient management helps medical institutions more reasonably allocate and use medical resources. By providing targeted nutritional support and therapeutic services to the patient, unnecessary medical expenditure and waste can be reduced, and the utilization efficiency of medical resources can be improved.
Meanwhile, by considering the weight of the patient (including the current weight and the last physical examination weight, which can be used for evaluating weight change), age, sex, BMI and other factors, the proposal can tailor the personalized protein demand for different patient specific situations. Such personalized settings help to more accurately meet the nutritional needs of the patient and avoid overnutrition or undernutrition due to the recommended amount of "one-cut". The protein demand is adjusted using the range of gram weights (mz) per protein (0.5 g/kg-0.8 g/kg) as a benchmark, in combination with patient specific conditions (e.g. weight change, age, sex, BMI), which is more accurate than an estimate based on only a single factor (e.g. body weight). And particularly, by introducing correction factors and reference protein demand coefficients, the calculation of the protein demand is further refined, and the accuracy of the result is improved.
Meanwhile, the calculation formula in the scheme allows flexible adjustment according to the actual condition of the patient. For example, if there is a significant change in the patient's weight, the system can automatically adjust the basal protein demand, while by taking into account age, sex, and BMI, the system can more fully assess the patient's nutritional needs, thereby providing a more flexible and adaptable nutritional management regimen. The technical scheme is based on the principles of medicine and nutrition, and the protein demand is calculated through a scientific formula and parameter setting. The method not only embodies the scientificity of nutrition management, but also improves the professionality of the nutrition management, and is helpful for providing more professional and effective nutrition guidance for patients. The technical scheme is realized through the medical terminal, and is convenient for clinical medical staff to operate and use. The medical staff only need to input the relevant information of the patient, the system can automatically calculate the protein demand, the work flow of nutrition management is greatly simplified, and the work efficiency is improved.
In conclusion, the technical effect of the technical scheme on the performance index is mainly reflected in the aspects of high individuation degree, accuracy improvement, flexibility enhancement, scientificity and specialty, convenience for clinical application and the like.
In one embodiment of the present invention, obtaining a correction factor using age information, sex information, and body mass index BMI of the patient, and obtaining a reference protein demand coefficient using the correction factor, comprises:
Step 1, extracting age information and sex information of a patient;
step 2, acquiring a first correction factor by using the age information and the sex information of the patient, wherein the first correction factor is acquired by the following formula:
Wherein K01 represents a first correction factor, N represents the age of a patient, mz represents the gram weight of unit protein, the value range of the gram weight of unit protein is 0.5g/kg-0.8g/kg, K represents a first adjustment coefficient, v represents a second adjustment coefficient, and the first adjustment coefficient and the second adjustment coefficient are obtained through the following formula:
Wherein k represents a first adjustment coefficient, v represents a second adjustment coefficient, B represents the duration of time of illness of a patient, N represents the age of the patient, k0 represents a reference parameter, the value range of which is 0.048-0.052, preferably 0.05, Pm represents the average value of the weight change rate of each physical examination of the patient after illness, and Pr represents the average value of the muscle content change rate of each physical examination of the patient after illness;
step 3, extracting the body mass index BMI of the patient;
and 4, acquiring a second correction factor by using the BMI of the patient, wherein the second correction factor is acquired by the following formula:
Wherein, K02 represents a second correction factor, BIM represents a specific numerical value corresponding to BIM;
And 5, acquiring a reference protein demand coefficient by using the first correction factor and the second correction factor, wherein the reference protein demand coefficient is acquired by the following formula:
where K represents a baseline protein demand coefficient, K01 represents a first correction factor, K02 represents a second correction factor, and Br represents a patient's corresponding baseline protein demand.
The technical scheme has the working principle that basic information such as age, sex, body Mass Index (BMI) and the like of a patient is extracted from an electronic medical record or a health file of the patient. This information is the basis for the subsequent calculation of correction factors and reference protein demand coefficients.
The first correction factor is calculated using specific parameters of the patient's age, sex, and time after illness (e.g., duration of illness, average of weight change rate, average of muscle content change rate, etc.).
The calculation of the first correction factor involves a number of variables including age, grammage per unit protein, first adjustment factor, second adjustment factor, etc. In particular, the first and second adjustment coefficients are calculated by taking into account the patient's length of illness, age, rate of change of body weight and rate of change of muscle content, which reflect the effect of the patient's disease state on protein demand.
The second correction factor is calculated using the Body Mass Index (BMI) of the patient. BMI is a standard for measuring the degree of obesity in humans, by which the body composition and nutritional status of a patient can be assessed, thereby making further adjustments to protein demand.
The first correction factor and the second correction factor are combined with the reference protein demand to calculate a reference protein demand coefficient. The coefficient integrates the influence of a plurality of factors such as age, sex, BMI, disease state and the like of a patient on protein requirements, and provides a basis for establishing a personalized nutrition scheme.
The technical scheme has the effect that the personalized evaluation of the protein requirement of the patient is realized by comprehensively considering a plurality of factors such as the age, sex, BMI, disease state and the like of the patient. The assessment method is more comprehensive and scientific, and is beneficial to improving the accuracy and the effectiveness of nutrition management. Dynamic parameters such as disease duration, weight change rate, muscle content change rate and the like are introduced to calculate correction factors, so that the calculation result can better reflect the influence of the change of the disease state of the patient on protein requirements. This facilitates timely adjustment and optimization of the nutritional management regimen. By accurately calculating the benchmark protein demand coefficients, a more specific goal and direction is provided for nutrition management. This helps to reduce the occurrence of overnutrition or undernutrition and to improve the accuracy and effectiveness of nutrient management. The personalized nutrition management scheme is helpful for meeting the actual nutrition requirements of patients and promoting physical rehabilitation and health maintenance of the patients. Meanwhile, through scientific nutrition management, the risk of complications of patients can be reduced, and the life quality of the patients can be improved. Accurate nutrient management helps medical institutions more reasonably allocate and use medical resources. By providing targeted nutritional support and therapeutic services to the patient, unnecessary medical expenditure and waste can be reduced, and the utilization efficiency of medical resources can be improved.
Meanwhile, by comprehensively considering the age, sex, body mass index BMI, the weight after illness, the muscle content change rate and other factors of the patient, the technical scheme can provide highly customized reference protein demand coefficients for the patient. This method of customization can more accurately reflect individual differences and health conditions of the patient, thereby providing a more personalized nutritional management regimen. The first correction factor and the second correction factor are introduced and calculated through the formula and the adjustment coefficient respectively, so that the calculation process of the reference protein demand coefficient is more scientific and accurate. In particular, by taking into account the patient's weight and rate of change of muscle content after illness, the regimen enables a more accurate assessment of the patient's nutritional status and protein requirements, avoiding possible errors in single factor assessment.
On the other hand, the technical scheme can dynamically adjust the reference protein demand coefficient along with the change of the health condition of the patient. For example, when there is a significant change in the patient's weight or muscle content, the system may automatically recalculate the adjustment factors and correction factors to ensure accuracy of the protein demand. This dynamic adaptation helps to provide continuous and effective nutritional support for the patient.
The whole calculation process is based on the principles of medicine and nutrition, and the accuracy and reliability of the result are ensured through scientific formulas and parameter settings. The scientificity and the professionality not only improve the effect of nutrition management, but also enhance the trust degree of patients and medical staff on the scheme. The complexity is reduced through the calculation process, and the technical scheme can realize automatic processing through modern equipment such as medical terminals. The medical staff only need to input the relevant information of the patient, the system can automatically calculate the reference protein demand coefficient, and a corresponding nutrition management scheme is generated. The characteristics of easy implementation and monitoring are beneficial to improving the working efficiency and reducing errors caused by human factors. By providing accurate, personalized protein demand guidance to the patient, this solution helps to promote the patient's rehabilitation process. Reasonable protein intake plays an important role in maintaining muscle mass, promoting tissue repair, improving immunity and the like. Therefore, the technical scheme has remarkable technical effects in supporting rehabilitation of patients.
In summary, the technical effects of the technical scheme on the performance index are mainly embodied in the aspects of high customization, precision improvement, dynamic adaptability, scientificity and specialty, easiness in implementation and monitoring, patient rehabilitation promotion and the like.
In one embodiment of the present invention, obtaining a basal protein demand using the basal protein demand and the basal protein demand coefficient comprises:
step 1, extracting a reference protein demand and a reference protein demand coefficient corresponding to the patient;
Step 2, obtaining a basic protein demand by using the basic protein demand and the basic protein demand coefficient, wherein the basic protein demand is obtained by the following formula:
Wherein B represents basal protein demand, K represents basal protein demand coefficient, and Br represents basal protein demand corresponding to the patient.
The working principle of the technical scheme is that the reference protein demand and the reference protein demand coefficient of the patient are extracted from the previous calculation or storage. These two parameters are calculated in the previous step based on factors such as age, sex, body Mass Index (BMI) and possibly disease state of the patient.
Using the extracted basal protein demand and basal protein demand coefficient, the basal protein demand of the patient is calculated by the formula b= (1+k) Br. This formula is simple and straightforward, and adjusts the baseline protein demand by multiplying by a factor to more accurately reflect the patient's actual protein demand.
The technical scheme has the advantages that the calculated basic protein demand can reflect the actual nutrition demand of the patient more accurately by comprehensively considering a plurality of factors (such as age, sex, BMI, disease state and the like) of the patient. This helps to provide the patient with a personalized nutritional management regimen that promotes their health recovery. The introduction of the reference protein demand coefficient enables the calculation of the basic protein demand to be more precise and flexible. The nutrition management system can be adjusted according to the specific conditions of patients, so that the problem of 'one-cut' in the traditional nutrition management is avoided, and the accuracy and the effectiveness of the nutrition management are improved. By providing a personalized nutrition management scheme for the patient, unnecessary nutrition supplementation or waste can be reduced, and the utilization efficiency of medical resources can be improved. Meanwhile, accurate nutrition management is also beneficial to reducing the risk of complications of patients and relieving medical burden. Accurate calculation of basal protein demand provides scientific nutritional guidance for patients, helping to meet the nutritional requirements for their physical rehabilitation and health maintenance. This helps to promote physical rehabilitation of the patient and improve his quality of life. By interpreting the calculation of basal protein demand and the results to the patient, communication and trust between the doctor and patient can be enhanced. The patient can better understand the own nutritional needs and actively coordinate with the doctor's treatment and nutritional management regimen.
In a word, the technical scheme provides scientific basis for personalized nutrition management by accurately calculating the basic protein demand of the patient, is beneficial to improving the accuracy and the effectiveness of nutrition management and promotes the health recovery of the patient.
In one embodiment of the present invention, acquiring activity data of a patient during a preset trial monitoring period, and acquiring a protein demand compensation amount by using the activity data of the patient in combination with a first compensation amount factor and a second compensation amount factor, includes:
S201, calling a preset test monitoring time period;
S202, controlling a nutrition management platform to acquire daily activity data of a patient through a motion information acquisition device worn by the patient in real time in a preset test monitoring time period, wherein the activity data comprise the number of motion steps, the activity duration, the energy consumption and the heart rate data;
S203, performing data cleaning processing on the activity data to remove unreasonable data information in the activity data;
S204, extracting the data quantity of unreasonable data information in the activity data;
S205, comparing the data quantity of unreasonable data information in the activity data with a preset data quantity threshold;
S206, when the data quantity of unreasonable data information in the activity data exceeds a preset data quantity threshold, re-acquisition of the activity data is carried out;
s207, acquiring protein demand compensation quantity by using the exercise step number, the activity duration, the energy consumption and the heart rate data.
The working principle of the technical scheme is that the system sets a preset test monitoring time period, so that the activity data of the patient are monitored and collected in a specified time. And in a preset test monitoring time period, the nutrition management platform acquires the activity data of the patient in real time through the motion information acquisition equipment worn by the patient. These data include exercise steps, length of activity, energy expenditure, heart rate data, etc., which can reflect the patient's daily activities comprehensively. Since the original data may contain unreasonable or abnormal information, such as erroneous data caused by equipment failure, data entry errors, etc., it is necessary to perform cleaning processing on these data. The purpose of this step is to remove unreasonable data information in the activity data, ensuring the accuracy of the subsequent analysis. The system can determine the quality of the data by extracting the amount of unreasonable data information in the activity data and comparing it with a preset data amount threshold. If the data quantity of the unreasonable data information exceeds a preset threshold value, the data quality is poor, and re-acquisition is needed. When an unsatisfactory data quality is detected, the system triggers a re-acquisition mechanism to ensure accurate and reliable patient activity data is acquired. Finally, using the cleaned and processed activity data, in combination with the first and second compensation factors, the system may calculate a protein demand compensation for the patient. This amount of compensation is adjusted according to the daily activity of the patient to ensure that the patient is able to obtain enough protein to meet his physical needs.
The technical effect of the technical scheme is that the system can remove unreasonable and abnormal information in the original data through data cleaning and unreasonable data detection, and the accuracy and reliability of the data are improved. This helps ensure the accuracy of subsequent calculations, resulting in a more accurate compensation of protein demand. According to the scheme, the preset trial monitoring time period and the real-time data acquisition mechanism are set, so that the activity data of the patient can be obtained efficiently. Meanwhile, the mechanism of data re-acquisition ensures the integrity and accuracy of the data, and avoids calculation errors caused by the quality problem of the data. In combination with the patient's daily activity data and the offset factor, the system is able to calculate individualized protein demand offsets. This helps to provide a more accurate nutritional management regimen for the patient, meeting their physical needs, promoting health recovery. Through real-time monitoring and data analysis, the patient can timely know the activity condition and the nutrition requirement of the patient, so that the life style and the eating habit of the patient can be adjusted. This helps to improve the health consciousness and quality of life of the patient.
In summary, the technical scheme provides more accurate and efficient nutrition management service for patients by optimizing the data acquisition flow, improving the data accuracy, realizing personalized nutrition management, improving the user experience and the like.
One embodiment of the invention, using the exercise step number, activity duration, energy expenditure and heart rate data to obtain protein demand compensation, comprises:
s2071, extracting the number of exercise steps and energy consumption in the activity data at the end time of a preset trial monitoring time period;
s2072, acquiring a first compensation quantity factor by utilizing the motion step number and the energy consumption, wherein the first compensation quantity factor is acquired by the following formula:
Wherein S01 represents a first compensation quantity factor, e represents the number of unit time contained in a preset test monitoring time period, and the unit time is 24h, Mi represents the energy consumption of the ith unit time, and Wdi represents the total energy corresponding to the food intake of the ith unit time;
S2073, extracting the activity duration and heart rate data in the activity data at the end time of a preset trial monitoring time period;
s2074, taking a second compensation quantity factor by using the activity duration and heart rate data, wherein the second compensation quantity factor is obtained by the following formula:
Wherein S02 represents a first compensation quantity factor, e represents the number of unit time contained in a preset test monitoring time period, the unit time is 24h, Pxi represents the heart rate change rate of the ith unit time, Ti represents the activity duration corresponding to the ith unit time, and Td represents the duration corresponding to the unit time;
S2075, acquiring protein demand compensation quantity by using the first compensation quantity factor and the second compensation quantity factor.
The technical scheme has the working principle that in a preset test monitoring time period, the activity data of a patient are acquired in real time through the motion information acquisition equipment (such as an intelligent bracelet, an intelligent watch and the like) worn by the patient. These data include exercise steps, activity duration, energy expenditure, and heart rate data reflecting the daily activity level and physiological state of the patient.
Second, at the end of the trial monitoring period, the patient's exercise steps and energy expenditure data are extracted. The first compensation amount factor is calculated by comparing the energy consumption amount per unit time (e.g., 24 hours) with the total energy corresponding to the food intake amount. This factor reflects the extra energy the patient expends due to activity, so that increased protein intake is required to extract the patient's activity duration and heart rate data, also at the end of the trial monitoring period. A second compensation amount factor is calculated using the heart rate variability and the activity duration. This factor accounts for heart rate variability in the patient, which may reflect the patient's exercise intensity or physiological pressure, requiring additional proteins to support recovery and repair of the body. And finally, combining the first compensation factor and the second compensation factor to calculate the protein demand compensation. This compensation is derived based on the actual activity level and physiological state of the patient, with the aim of meeting the increased protein demand of the patient due to activity.
The technical scheme has the advantages that the personalized management of the nutritional requirements of the patients is realized by monitoring the activity data of the patients in real time and calculating the protein requirement compensation amount. The method can reflect the actual nutrition requirement of the patient more accurately, and avoids the problem of 'one-cut' in the traditional nutrition management. The calculated protein demand compensation quantity is more accurate by comprehensively considering a plurality of factors such as the exercise step number, the activity duration, the energy consumption and the heart rate data of the patient. This helps to provide the patient with more scientific and reasonable nutritional advice, promoting their health recovery.
Accurate protein demand offset calculations help to meet the patient's increased protein demand due to activity, thereby promoting recovery and repair of his body. At the same time, reasonable nutrition management is also helpful for reducing the risk of complications of patients and improving the quality of life. By monitoring and feeding back the patient's activity data and nutritional needs in real time, the patient's engagement and self-management ability can be enhanced. The patient can better understand his own physical condition and nutrition requirements, thereby more actively matching with the doctor's treatment and nutrition management scheme. By providing a personalized nutrition management scheme for the patient, unnecessary nutrition supplementation or waste can be reduced, and the utilization efficiency of medical resources can be improved. Meanwhile, accurate nutrition management is also beneficial to reducing medical cost and relieving the burden of patients and medical institutions.
Meanwhile, the activity data of the patient are obtained in real time in a preset test monitoring time period, and the technical scheme can reflect the daily activity and the energy consumption of the patient in time. This real-time and dynamic nature helps to more accurately assess changes in protein demand of the patient and to dynamically adjust to the actual situation. The protein demand compensation quantity is calculated by utilizing activity data of a plurality of dimensions such as the number of exercise steps, the activity duration, the energy consumption, the heart rate data and the like, so that the evaluation result is more comprehensive and accurate. These data reflect the patient's activity intensity and physiological state from different perspectives, helping to improve the accuracy of protein demand assessment.
By calculating the first compensation factor and the second compensation factor and combining the specific activity data of the patient, the technical scheme can provide personalized protein demand compensation for the patient. The personalized compensation method takes individual differences and specific activity conditions of patients into consideration, and helps to meet actual nutritional requirements of the patients. The first compensation factor and the second compensation factor, and the final protein demand compensation are calculated by using the above formula and parameter settings, so that the whole calculation process is scientific and reasonable. This scientificity and rationality helps to improve the effectiveness of nutrition management and promote recovery of the patient's health. Meanwhile, medical staff only needs to set a test monitoring time period and ensure that a patient wears the motion information acquisition equipment, and the system can automatically collect and analyze data and generate advice of protein demand compensation quantity. The characteristics of easy operation and implementation are helpful for improving the working efficiency and reducing errors caused by human factors. By providing accurate protein demand compensation guidelines to the patient, the solution helps promote patient health recovery. Reasonable protein intake plays an important role in maintaining muscle mass, promoting tissue repair, improving immunity and the like. Therefore, the technical scheme has remarkable technical effects in supporting rehabilitation of patients.
In summary, the technical effects of the technical scheme on performance indexes are mainly reflected in aspects of real-time performance and dynamic performance, multi-dimensional data fusion, personalized compensation, scientificity and rationality, easiness in operation and implementation, health recovery promotion and the like.
In one embodiment of the present invention, the obtaining the protein demand offset using the first offset factor and the second offset factor includes:
Step1, extracting a reference protein demand and a basic protein demand corresponding to a patient;
Step 2, obtaining protein demand compensation by combining the reference protein demand and the basic protein demand by using the first compensation factor and the second compensation factor, wherein the protein demand compensation is obtained by the following formula:
wherein Bc represents the protein demand offset, S02 represents the second offset factor, B represents the basal protein demand, Br represents the patient' S corresponding basal protein demand, and S01 represents the first offset factor.
The working principle and the effect of the technical scheme are that the calculated protein demand compensation quantity is closer to the actual nutrition demand of the patient by combining the compensation quantity factors obtained by the reference protein demand, the basic protein demand and the activity data of the patient. This helps provide a more personalized nutritional management regimen for the patient. The protein demand compensation quantity is calculated by a scientific method and a formula, so that subjectivity and randomness in the traditional nutrition management are avoided. This helps to improve the scientificity and accuracy of nutrition management. Accurate protein demand compensation helps to meet the additional protein demands of the patient due to increased activity or other factors, thereby promoting recovery and repair of the patient's body. By providing a personalized nutrition management scheme for the patient, unnecessary nutrition supplementation or waste can be reduced, and the utilization efficiency of medical resources can be improved. The personalized nutrition management scheme can better meet the requirements of patients and improve the satisfaction degree and the trust degree of the patients on medical services.
Meanwhile, the technical scheme calculates protein demand compensation (Bc) by comprehensively considering a reference protein demand (Br), a basic protein demand (B), a first compensation factor (S01) and a second compensation factor (S02) of a patient. The comprehensive evaluation method can more comprehensively consider the influence of individual differences, basic nutrition demands and activity levels of patients on protein demands, so that more accurate and reasonable protein demand compensation quantity is obtained. By introducing the first compensation quantity factor and the second compensation quantity factor, the technical scheme can be adjusted in a personalized way according to specific activity data and physiological states of the patient. Such personalized adjustments help to meet specific nutritional needs of different patients, improving pertinence and effectiveness of nutritional management. The formula design in the technical scheme has certain flexibility, and the values of all parameters can be adjusted according to actual conditions. For example, the calculation method of the reference protein demand and the base protein demand may be adjusted according to factors such as age, sex, health condition, etc. of the patient, and the calculation weights of the first compensation amount factor and the second compensation amount factor may be adjusted according to the activity intensity and the energy consumption condition of the patient. This flexibility helps to accommodate the changing needs of different patients and improves the adaptability and dynamics of nutrition management.
On the other hand, the technical scheme calculates the protein demand compensation amount based on a scientific formula and parameter setting, and ensures the accuracy and reliability of a calculation result. By comprehensively considering a plurality of factors, the technical scheme can more accurately reflect the actual protein demand condition of the patient and provide powerful support for nutrition management. The medical staff only need to input the relevant information and activity data of the patient, the system can automatically calculate the protein demand compensation amount, and a corresponding nutrition management scheme is generated. The easy-to-implement feature helps to improve the working efficiency and reduce errors caused by human factors. At the same time, the technical scheme is helpful for promoting the health recovery of the patient by providing accurate protein demand compensation amount guidance for the patient. Reasonable protein intake plays an important role in maintaining muscle mass, promoting tissue repair, improving immunity and the like. Therefore, the technical scheme has remarkable technical effects in supporting rehabilitation of patients.
In summary, the technical effects of the technical scheme on the performance index are mainly reflected in the aspects of comprehensive evaluation capability, personalized adjustment, flexibility, scientificity and accuracy, easiness in implementation, health recovery promotion and the like.
In one embodiment of the invention, retrieving a nutritional regimen corresponding to the basal protein demand and protein demand offset from a database using the basal protein demand and protein demand offset, comprising:
s301, taking a basic protein demand and a protein demand compensation amount of a patient as input parameters, and inputting the input parameters into a database;
s302, searching the database according to the input parameters, and searching a nutrition scheme corresponding to the input parameters to obtain a plurality of nutrition schemes matched with the input data;
S303, acquiring allergy history information and treatment scheme information corresponding to the patient input by the medical terminal;
and S304, screening the nutrition schemes matched with the input data according to the allergy history information and the treatment scheme information corresponding to the patient, and obtaining the nutrition scheme matched with the patient.
The working principle of the technical scheme is that firstly, the basic protein demand and the protein demand compensation of a patient are used as key input parameters and are input into a pre-established database. The database performs intelligent retrieval according to the input parameters, and a plurality of nutrition schemes matched with the input data are found out by comparing the matching degree of the nutrition schemes in the database and the input parameters. These nutritional regimens are constructed based on a large amount of data and expertise, aimed at meeting the nutritional needs of different patients.
Prior to the nutritional regimen screening, patient allergy history information and treatment regimen information also need to be obtained from the medical terminal. Such information is critical to ensure the safety and effectiveness of the nutritional regimen.
The plurality of matching nutritional regimens previously retrieved are further screened based on the patient's allergy history information and treatment regimen information. This process would eliminate those nutritional regimens that contain allergic components to the patient or that interfere with the therapeutic regimen, thereby ensuring that the final selected nutritional regimen meets both the nutritional needs of the patient and its personalized health.
The technical scheme has the advantages that by combining the basic protein demand, the protein demand compensation and the allergy history and treatment scheme information of the patient, the technical scheme can generate a highly personalized nutrition scheme, so that the actual demand of the patient is better met. When the nutrition scheme is screened, allergy history information of a patient is fully considered, adverse reactions caused by misuse of nourishment containing allergy ingredients are effectively avoided, and the safety of nutrition management is improved. Through combining treatment scheme information of the patient, the screened nutrition scheme can supplement with the treatment scheme, so that the rehabilitation process of the patient is promoted, and the overall effect of nutrition management is improved. Through intelligent retrieval and screening function, this technical scheme can provide suitable nutrition scheme for the patient fast accurately, has reduced medical personnel's work load, has improved medical resource's utilization efficiency. The personalized nutrition scheme can better meet the demands of patients, and improve the life quality of the patients, thereby enhancing the satisfaction degree and the trust degree of the patients on medical services.
The embodiment of the invention provides a tumor patient nutrition management system based on multi-objective optimization, as shown in fig. 2, the tumor patient nutrition management system comprises:
The basic protein demand acquisition module is used for collecting basic data information of a patient and acquiring the basic protein demand of the patient according to the basic data information of the patient by combining the basic protein demand, the first correction factor and the second correction factor;
the protein demand compensation quantity acquisition module is used for acquiring activity data of a patient in a preset test monitoring time period and acquiring protein demand compensation quantity by combining the activity data of the patient with a first compensation quantity factor and a second compensation quantity factor;
And the nutrition scheme acquisition module is used for utilizing the basic protein demand and the protein demand compensation to call the nutrition scheme corresponding to the basic protein demand and the protein demand compensation from the database.
The working principle of the technical scheme is that basic data information of a patient including but not limited to age, gender, weight, height and the like is collected at first.
Based on these basic data, the basic protein demand of the patient is estimated using the nutritional principles and computational formulas. This demand reflects the amount of protein required by the patient to maintain basic physiological functions in a resting state.
And in a preset test monitoring time period, acquiring the activity data of the patient in real time through a motion information acquisition device (such as a smart bracelet, a smart watch and the like) worn by the patient. Such activity data includes number of steps, duration of activity, type of activity, heart rate, energy expenditure, etc. The patient's activity data is analyzed using advanced algorithms and models to calculate additional protein demand, i.e., protein demand compensation, due to increased physical activity. This amount of compensation is intended to meet the additional nutritional needs of the patient due to increased activity.
Adding the basic protein demand and the protein demand offset to obtain the total protein demand of the patient. Based on this total demand, the nutritional regimen corresponding thereto is retrieved from a pre-established database. The nutritional schemes in the database should cover various food combinations, nutrient ratios and cooking modes to meet the individual needs of different patients.
In practical application, the nutrition scheme can be finely adjusted according to the taste preference, diet tabu and other factors of the patient so as to ensure the feasibility and the acceptance of the patient.
The technical scheme has the advantage that accurate assessment of the nutritional requirements of the patient is realized by collecting basic data information and activity data of the patient. This helps to avoid the occurrence of overnutrition or undernutrition, and to improve the effectiveness and safety of nutrition management. Based on the specific requirements and conditions of the patient, the nutrition scheme corresponding to the requirements and conditions is called from the database, and personalized adjustment is carried out. This helps to meet the specific needs of the patient and improves the pertinence and effectiveness of their nutrient intake. By providing a scientific and reasonable nutrition scheme, the nutrition condition and the life quality of the patient can be improved. This helps to enhance the patient's immunity and resistance, promoting recovery from and prognosis of the disease. Through accurate and personalized nutrition management, unnecessary medical expenditure and waste can be reduced. Meanwhile, the good nutritional status is also helpful for shortening the hospitalization time and rehabilitation period of the patient, and further reducing the medical cost. This solution requires the patient to actively participate and provide relevant data and information, which helps to enhance the communication and collaboration between the doctor and patient.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.