CN118762839A - User information evaluation method and system based on big data - Google Patents
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Abstract
The invention discloses a user information evaluation method and system based on big data, and relates to the technical field of user health information evaluation. According to the user information assessment method based on big data, the comprehensive health assessment index of each user is obtained through obtaining the current environment information, the current physiological information and the current life quality information of each user and analyzing, then the discrimination analysis is carried out, meanwhile, the health abnormality marking is carried out on the user with abnormal comprehensive health assessment index, and meanwhile, the health abnormality instruction is sent.
Description
Technical Field
The invention relates to the technical field of user health information evaluation, in particular to a user information evaluation method and system based on big data.
Background
In conventional health management and assessment systems, data collection and processing is often isolated and decentralized, focusing on specific health metrics such as blood pressure, heart rate, or weight, and lacking a comprehensive understanding of the overall health of the user. These systems often fail to take full advantage of the large amount of health data available, limiting the accuracy of health predictions and the utility of personalized health advice.
Most existing health assessment tools ignore the impact of environmental factors and quality of life on health. Factors such as air quality, noise level, sleep quality, and daily activity level are often not considered in many health assessment models, which limits the comprehensiveness of the assessment and the effectiveness of the intervention.
With the rapid development of information technology, the medical and health arts have accumulated a vast amount of data including, but not limited to, electronic health records, wearable device monitoring data, and environmental monitoring system data. The effective integration and analysis of these data provides great potential and opportunity for developing more accurate and personalized health management and assessment methods, so that a user information assessment method based on big data is generated.
Limitations of the prior art include at least the problem that in the field of health monitoring and assessment, the prior art is generally limited to analyzing a single health index or focusing only on the influence of specific environmental factors, and multi-dimensional comprehensive analysis cannot be achieved, so that it is easy to comprehensively consider various related factors when assessing the health status of an individual.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a user information evaluation method and system based on big data, which solve the problems that in the field of health monitoring and evaluation, the prior art is generally limited to analyzing single health indexes or only concentrates on the influence of specific environmental factors and cannot realize multi-dimensional comprehensive analysis, so that when the health state of an individual is evaluated, various related factors are difficult to comprehensively consider.
In order to achieve the above purpose, the invention is realized by the following technical scheme: a user information evaluation method based on big data comprises the following steps: acquiring current environment information, current physiological information and current life quality information of each user, and preprocessing; respectively analyzing the preprocessed current environment information, the current physiological information and the current life quality information of each user to obtain a current environment index, and the current physiological index and the current life quality index of each user; respectively carrying out comprehensive analysis on the current environment index, the current physiological index and the current life quality index of each user to obtain a comprehensive health evaluation index of each user; respectively carrying out discriminant analysis on the comprehensive health evaluation index of each user and the corresponding set health threshold range, if the comprehensive health evaluation index does not accord with the user in the corresponding set health threshold range, marking the health abnormality of the user, and simultaneously sending a health abnormality instruction; the current environment information is specifically a current air quality value and a current noise level value in a set area, the current physiological information is specifically a current heart rate value, a current blood oxygen concentration value and a current blood pressure value of each user, and the current life quality information is specifically a current sleep time value and a current movement time value; the specific steps for obtaining the current environment index are as follows: acquiring an air quality standard value and a noise level standard value in a set area; comprehensively analyzing the current air quality value and the current noise level value in the set area with the air quality standard value and the noise level standard value to obtain a current environment index; the specific formula for calculating the current environmental index is as follows: ; wherein, As the current air quality assessment value,To set the current air quality in the area,To set the air quality standard value in the area,Is the air quality coefficient of the air, and the air quality coefficient of the air is the air quality coefficient of the air,As an index of the current environment,To set the current noise level estimate in the region,As a coefficient of the level of the noise,，Is a natural constant; the specific steps for obtaining the current physiological index of each user are as follows: obtaining a heart rate standard value, an blood oxygen concentration standard value and a blood pressure standard value of each user; analyzing the current heart rate value, the current blood oxygen concentration value and the current blood pressure value of each user with the corresponding heart rate standard value, the blood oxygen concentration standard value and the blood pressure standard value respectively to obtain a current heart rate distance evaluation value, a current blood oxygen concentration distance evaluation value and a current blood pressure distance evaluation value of each user; respectively carrying out comprehensive analysis on the current heart rate distance evaluation value, the current blood oxygen concentration distance evaluation value and the current blood pressure distance evaluation value of each user to obtain the current physiological index of each user; the specific formulas for calculating the current heart rate distance evaluation value, the current blood oxygen concentration distance evaluation value, the current blood pressure distance evaluation value and the current physiological index of each user are as follows: Wherein, the method comprises the steps of, Is the firstThe current heart rate distance assessment value of the individual user,Is the firstThe current heart rate value of the individual user,Is the firstThe heart rate standard value of the individual user,Is the firstThe current physiological index of the individual user is,Is the firstThe current blood oxygen distance assessment values of the individual users,Is the firstThe current blood pressure distance assessment value of the individual user,,For the number of users to be counted,Is a natural constant; the specific steps for obtaining the health index of each user are as follows; obtaining a sleep time standard value and a movement time standard value of each user; analyzing the current sleep time value and the current movement time value of each user with the corresponding sleep time standard value and movement time standard value respectively to obtain a current sleep time value evaluation value and a current movement time value evaluation value of each user; respectively carrying out comprehensive analysis on the current sleep time value evaluation value and the current movement time value evaluation value of each user to obtain the current life quality index of each user; the specific formulas for calculating the current sleep time value evaluation value and the current life quality index of each user are as follows:
; wherein, Is the firstThe current sleep time value of the individual user evaluates,Is the firstThe current sleep time value of the individual user,Is the firstThe standard value of the sleep time of the individual user,As a function of the sleep time coefficient,Is the firstThe current quality of life indicator of the individual user,Is the firstThe current motion time value of the individual user evaluates,As a coefficient of the time of motion,,，Is the number of users.
Further, a specific formula for calculating the comprehensive health assessment index of each user is as follows: ; wherein, Is the firstThe overall health assessment index of the individual user,As an index of the current environment,Is the firstThe environmental factor of the individual user is determined,Is the firstThe current physiological index of the individual user is,Is the firstThe physiological coefficients of the individual users are used,Is the firstThe current quality of life indicator of the individual user,Is the firstThe living coefficient of the individual user is calculated,，,Is the number of users.
Further, the comprehensive health evaluation index of each user is respectively subjected to discriminant analysis with the corresponding set health threshold range, and if the comprehensive health evaluation index does not accord with the corresponding set health threshold range, the user is marked with health abnormality, and meanwhile, the specific process of sending the health abnormality instruction is as follows: judging whether the comprehensive health evaluation index of each user accords with the corresponding set health threshold range or not respectively, and identifying the users of which the comprehensive health evaluation index does not accord with the corresponding set health threshold range, and marking the users as health abnormal users; and respectively carrying out abnormality analysis on the current physiological index, the current environment index and the current life quality index of the user with abnormal health, identifying the abnormal index and simultaneously sending a health abnormal instruction.
A big data based user information assessment system comprising: the system comprises a data acquisition module, an index analysis module, a comprehensive evaluation module and a judgment analysis module; the data acquisition module is used for acquiring current environment information, current physiological information of each user and current life quality information, and preprocessing the current physiological information and the current life quality information; the index analysis module is used for respectively analyzing the preprocessed current environment information, the current physiological information and the current life quality information of each user to obtain a current environment index, the current physiological index and the current life quality index of each user; the comprehensive evaluation module is used for respectively carrying out comprehensive analysis on the current environment index, the current physiological index and the current life quality index of each user to obtain a comprehensive health evaluation index of each user; the judgment and analysis module is used for respectively judging and analyzing the comprehensive health evaluation index of each user and the corresponding set health threshold range, if the comprehensive health evaluation index does not accord with the user in the corresponding set health threshold range, marking the health abnormality of the user, and simultaneously sending the health abnormality instruction.
The invention has the following beneficial effects:
(1) According to the user information assessment method based on big data, more accurate health state assessment is allowed through comprehensive analysis of environment, physiology and life quality data, simultaneous analysis of multiple health influence factors can be provided, comprehensive health portraits can be provided, potential health problems possibly ignored by single index analysis can be helped to be identified, and scientific health advice is provided through quantitative and data-driven modes, so that effectiveness of health management and disease prevention is improved.
(2) The user information assessment method based on big data enables health monitoring to be dynamic and real-time, allows health abnormality to be identified immediately and responds quickly, and can immediately give an alarm and provide corresponding health advice or medical intervention advice when the health index of a user shows abnormality, and the instant feedback mechanism greatly enhances the capability of treating chronic diseases or sudden health events, so that occurrence of medical accidents and deterioration of health conditions are greatly reduced.
(3) According to the user information evaluation system based on big data, the configuration of health monitoring and intervention resources can be effectively optimized through the processing and analysis modes of the integrated multi-module, the data acquisition module, the index analysis module, the comprehensive evaluation module and the judgment analysis module of the system work cooperatively, so that the efficiency of data processing is improved, the pertinence and timeliness of health intervention measures are also ensured, through the automatic data analysis and health evaluation processes, a medical service provider can more accurately determine which users need urgent attention and intervention, and which users have stable health conditions, so that medical resources and manpower are distributed more reasonably.
Of course, it is not necessary for any one product to practice the invention to achieve all of the advantages set forth above at the same time.
Drawings
Fig. 1 is a flowchart of a user information evaluation method based on big data in the present invention.
Fig. 2 is a flowchart of a step of obtaining a current physiological index of each user in the user information evaluation method based on big data according to the present invention.
FIG. 3 is a block diagram of a big data based user information assessment system according to the present invention.
Detailed Description
The embodiment of the application solves the problems that in the field of health monitoring and evaluation, the prior art is generally limited to analyzing single health indexes or only focusing on the influence of specific environmental factors, and multi-dimensional comprehensive analysis cannot be realized, so that various related factors are difficult to comprehensively consider when the health state of an individual is evaluated easily.
The problems in the embodiment of the application have the following general ideas:
First, current environmental information (such as air quality and noise level), physiological information (such as heart rate, blood oxygen concentration, blood pressure) and quality of life information (such as sleep time and exercise time) are collected for each user, and then these information are preprocessed to prepare for further analysis, and the preprocessed data are respectively analyzed to calculate environmental index, physiological index and quality of life index. By combining the indexes, the comprehensive health evaluation index of each user is further calculated, the comprehensive health evaluation index of each user is compared with a set health threshold range, and for users which do not meet the health threshold, health abnormality marking is carried out, and health abnormality instructions are sent to related personnel aiming at the identified abnormality so as to take corresponding intervention measures.
Referring to fig. 1, the embodiment of the invention provides a technical scheme: a user information evaluation method based on big data comprises the following steps: acquiring current environment information, current physiological information and current life quality information of each user, and preprocessing; respectively analyzing the preprocessed current environment information, the current physiological information and the current life quality information of each user to obtain a current environment index, and the current physiological index and the current life quality index of each user; respectively carrying out comprehensive analysis on the current environment index, the current physiological index and the current life quality index of each user to obtain a comprehensive health evaluation index of each user; and respectively carrying out discriminant analysis on the comprehensive health evaluation index of each user and the corresponding set health threshold range, if the comprehensive health evaluation index does not accord with the user in the corresponding set health threshold range, marking the health abnormality of the user, and simultaneously sending a health abnormality instruction to related staff.
The current environment information is specifically a current air quality value and a current noise level value (the noise level is the intensity of sound in a measurement residential area) in a set area (such as a residential area), the current physiological information is specifically a current heart rate value, a current blood oxygen concentration value and a current blood pressure value (namely, the average value of systolic pressure and diastolic pressure) of each user, the current life quality information is specifically a current sleep time value (the sleep time is the sleep time in the same day) and a current movement time value (the movement time is the total duration of physical activity and exercise in the same day), and the sleep time and the movement time are acquired through health software of a mobile phone terminal.
Wherein, the air quality is the concentration information of synthesizing a plurality of pollutants, provides a total air quality, and the calculation process: concentration data of various air pollutants are collected, common pollutants comprise particulate matters, sulfur dioxide, nitrogen dioxide, carbon monoxide and ozone, AQI values of the pollutants are calculated and summed, and then the calculated total AQI values are the air quality.
Specifically, a specific formula for calculating the comprehensive health assessment index of each user is as follows: ; wherein, Is the firstThe overall health assessment index of the individual user,As an index of the current environment,Is the firstThe environmental factor of the individual user is determined,Is the firstThe current physiological index of the individual user is,Is the firstThe physiological coefficients of the individual users are used,Is the firstThe current quality of life indicator of the individual user,Is the firstThe living coefficient of the individual user is calculated,，,The number of users is the number, and the current environment index, the current physiological index and the current life quality index of the users are all unitless values, so that the calculation can be directly carried out.
It should be explained that:、、 the specific calculation process of (1) is to calculate the current environment index and the first Adding the current physiological index and the current life quality index of each user to obtain the firstThe comprehensive health and value of the individual user is then used to determine the current environmental indicator and the firstAnd respectively carrying out ratio analysis on the current physiological index and the current life quality index of each user and the comprehensive health sum value, and taking the ratio result as a corresponding coefficient.
In this embodiment, by introducing an environmental coefficient, a physiological coefficient and a living coefficient, the formula can consider the concrete performance and response of an individual under different environments and the uniqueness of the individual physiology and living quality, the personalized evaluation method enables the health advice to be more accurate and suitable for the individual, thereby improving the effectiveness of intervention, the health evaluation index is calculated by integrating the current environmental index, the physiological index and the living quality index, the method can comprehensively reflect the health condition of a person, the comprehensive analysis is helpful for capturing the interaction among different health factors, a more comprehensive health evaluation is provided, the ratio analysis in the calculation formula allows dynamic adjustment coefficient, reflects the dynamic characteristics of the health condition of the individual along with time and environmental change, the method can timely adjust the health evaluation model to adapt to the environmental change or the change of the health condition of the individual, the unit-free numerical value is used for direct calculation, the data processing process is simplified, the processing speed and the processing efficiency are ensured, the data driving method reduces the interference of judgment, the subjective evaluation is more objective and scientific, and the health evaluation is easier to implement in different embodiments and the method is more beneficial for expanding the health evaluation in different health monitoring systems in different popularization and popularization of the health evaluation system.
Specifically, the specific steps for obtaining the current environmental index are as follows: acquiring an air quality standard value and a noise level standard value in a set area; and comprehensively analyzing the current air quality value and the current noise level value in the set area (such as a residential area), the air quality standard value and the noise level standard value to obtain the current environment index.
The air quality and the noise level are formulated by government environmental protection departments or related institutions, for example, the air quality standard is obtained from environmental air quality standard, and the noise level standard is obtained from social life environmental noise standard.
The specific formula for calculating the current environmental index is as follows: ; wherein, As the current air quality assessment value,To set the current air quality in the area,To set the air quality standard value in the area,Is the air quality coefficient of the air, and the air quality coefficient of the air is the air quality coefficient of the air,As an index of the current environment,To set the current noise level estimate in the region,As a coefficient of the level of the noise,，Is a natural constant.
It should be explained that: the current noise level evaluation value in the calculation setting area is identical to the logic for calculating the current air quality evaluation value, and the adopted formula logic is identical.
、The specific calculation process of the method comprises the steps of setting an air quality standard value and a noise level standard value in an area, adding the air quality standard value and the noise level standard value to obtain an environment and a value, and then carrying out duty ratio analysis on the air quality standard value and the noise level standard value in the set area and the environment and the value respectively, wherein an analysis result is a corresponding coefficient.
In this embodiment, a standard-based proportional analysis (such as the evaluation of air quality and noise level compared with the standard value) can be used to provide a more accurate environmental health risk evaluation, and the method can clearly show the deviation degree of the current environmental state and the health safety baseline by directly comparing the actual monitoring value with the established standard, for example, can specifically quantify the deterioration or improvement of the environmental quality, thereby providing more targeted data support for the establishment and adjustment of environmental policies, can help governments and public health institutions to respond in time when the air quality or noise level exceeds the standard, can rapidly identify the environmental condition possibly threatening the health of residents by comparing the real-time monitoring value with the standard value, and can take corresponding preventive measures or give out health warning, the method has the advantages that public health is effectively protected, transparency of environment monitoring and management is enhanced through disclosing specific calculation methods and using standards, the public can more easily understand calculation and evaluation processes of environment indexes, so that more positive roles are played in environment protection policies and community health activities, public belief of government actions is improved through the transparent processes, attention and participation of the public to environment problems are promoted, firm data base is provided for government establishment or adjustment of environment policies through comprehensive utilization of measured data of environment quality and standard values, important pollution treatment areas can be identified by the government through analysis of environment quality data of different areas, resource allocation is optimized, more targeted environment treatment measures are established, and therefore effectiveness and efficiency of the environment policies are improved.
Specifically, as shown in fig. 2, the specific steps for obtaining the current physiological index of each user are as follows: obtaining a heart rate standard value, an blood oxygen concentration standard value and a blood pressure standard value of each user; analyzing the current heart rate value, the current blood oxygen concentration value and the current blood pressure value of each user with the corresponding heart rate standard value, the blood oxygen concentration standard value and the blood pressure standard value respectively to obtain a current heart rate distance evaluation value, a current blood oxygen concentration distance evaluation value and a current blood pressure distance evaluation value of each user; and respectively carrying out comprehensive analysis on the current heart rate distance evaluation value, the current blood oxygen concentration distance evaluation value and the current blood pressure distance evaluation value of each user to obtain the current physiological index of each user.
It should be explained that: and acquiring a heart rate standard range, an blood oxygen concentration standard range and a blood pressure standard range of each user through relevant medical data in big data and suggestions of medical professionals, and respectively marking the median values of the heart rate standard range, the blood oxygen concentration standard range and the blood pressure standard range of each user as a heart rate standard value, a blood oxygen concentration standard value and a blood pressure standard value.
The current heart rate distance evaluation value is the ratio of the current heart rate deviation value to the heart rate standard value, the ratio is taken as the evaluation distance, the difference between the current heart rate and the heart rate standard value is represented, the smaller the ratio is, the closer the heart rate of the current user is to the standard value, the healthier the heart rate aspect of the user is, and the current blood oxygen concentration evaluation value and the current blood pressure evaluation value are consistent in logic meaning with the current heart rate distance evaluation value.
The specific formulas for calculating the current heart rate distance evaluation value, the current blood oxygen concentration evaluation distance, the current blood pressure evaluation distance and the current physiological index of each user are as follows: Wherein, the method comprises the steps of, Is the firstThe current heart rate distance assessment value of the individual user,Is the firstThe current heart rate value of the individual user,Is the firstThe heart rate standard value of the individual user,Is the firstThe current physiological index of the individual user is,Is the firstThe current blood oxygen distance assessment values of the individual users,Is the firstThe current blood pressure distance assessment value of the individual user,,For the number of users to be counted,Is a natural constant, and the current heart rate distance evaluation value, the current blood pressure distance evaluation value and the current heart rate distance evaluation value are all unitless values, so that calculation can be directly performed.
The following table is an example of the current physiological index calculation data of the 1 st user:
TABLE 1 example of current physiological index calculation data for user 1
In the table 1, the contents of the components,The current heart rate value for user 1, in units of times/min,The standard value of heart rate for the 1 st user, in units of beats/min,Is the current blood oxygen concentration value of the 1 st user,Is the standard value of the blood oxygen concentration of the 1 st user,For the 1 st user's current blood pressure value, in mmhg,The standard value of blood pressure of the 1 st user is expressed in mmHg,For the current heart rate distance assessment value of the 1 st user,The current blood oxygen concentration distance evaluation value for the 1 st user,For the 1 st user's current blood pressure distance assessment value,Is the current physiological index of the 1 st user.
A first set of data: the current heart rate value for user 1 is: 78, the heart rate standard value of the 1 st user is 75, and the current blood oxygen concentration value of the 1 st user is: 97, the standard value of the blood oxygen concentration of the 1 st user is: 96, the current blood pressure value for user 1 is: 102, the blood pressure standard value of the 1 st user is: 100, the current heart rate distance assessment of user 1 is approximately: 0.04, the current blood oxygen concentration distance assessment value of the 1 st user is about: 0.01, the current blood pressure distance estimate for user 1 is approximately: 0.06, the current physiological index of user 1 is about: 1.12.
A second set of data: the current heart rate value for user 1 is: 65, the heart rate standard value of the 1 st user is 75, and the current blood oxygen concentration value of the 1 st user is: 98, the standard value of the blood oxygen concentration of the 1 st user is: 96, the current blood pressure value for user 1 is: 91, the blood pressure standard value of the 1 st user is: 95, the current heart rate distance assessment of user 1 is approximately: 0.13, the current blood oxygen concentration distance assessment value of the 1 st user is about: 0.02, the current blood pressure distance estimate for user 1 is approximately: 0.07, the current physiological index of user 1 is about: 1.25.
Third set of data: the current heart rate value for user 1 is: 85, the heart rate standard value of the 1 st user is 75, and the current blood oxygen concentration value of the 1 st user is: 99, the standard value of the blood oxygen concentration of the 1 st user is: 96, the current blood pressure value for user 1 is: 101, the blood pressure standard value of the 1 st user is: 98, the current heart rate distance assessment of user 1 is approximately: 0.13, the current blood oxygen concentration distance assessment value of the 1 st user is about: 0.03, user 1's current blood pressure distance estimate is about: 0.03, the current physiological index of user 1 is about: 1.21.
Fourth set of data: the current heart rate value for user 1 is: 70, the heart rate standard value of the 1 st user is 75, and the current blood oxygen concentration value of the 1 st user is: 95, the standard value of the blood oxygen concentration of the 1 st user is: 96, the current blood pressure value for user 1 is: 99, the blood pressure standard value of the 1 st user is: 98, the current heart rate distance assessment of user 1 is approximately: 0.07, the current blood oxygen concentration distance assessment value of the 1 st user is about: 0.07, the current blood pressure distance estimate for user 1 is approximately: 0.01, the current physiological index of user 1 is about: 1.10.
Fifth set of data: the current heart rate value for user 1 is: 80, the heart rate standard value of the 1 st user is 75, and the current blood oxygen concentration value of the 1 st user is: 98, the standard value of the blood oxygen concentration of the 1 st user is: 96, the current blood pressure value for user 1 is: 104, the blood pressure standard value of the 1 st user is: 98, the current heart rate distance assessment of user 1 is approximately: 0.07, the current blood oxygen concentration distance assessment value of the 1 st user is about: 0.02, the current blood pressure distance estimate for user 1 is approximately: 0.06, the current physiological index of user 1 is about: 1.16.
In this embodiment, by comparing the actual physiological data of an individual with the standard value, the deviation of the health condition can be accurately estimated, the accuracy makes health monitoring more effective, and potential health problems such as cardiovascular diseases and respiratory problems can be timely found, so as to implement early intervention, by considering the difference between the physiological index of each individual and the standard value, the method allows personalized adjustment of health intervention measures, the personalized can provide more targeted health advice such as diet adjustment, exercise or medication plan according to the specific needs of each individual, thereby improving the effectiveness of intervention, the analysis of big data can provide real-time monitoring data, and can analyze trend and mode through historical data, so as to support evidence-based health management decision, the method can help medical providers to better understand the long-term health condition change of patients, optimize the treatment scheme, because the method can immediately identify abnormal change of health indexes, the medical service provider can take precaution measures, reduce the occurrence rate of acute events, not only help to improve the life quality of patients, but also possibly reduce the life quality of emergency intervention, and can also help patients to see the health information of the patients to participate in the health management mode when the specific information of the patients and the medical service provider can be more effective in the health management mode, such as the help the patients to see the health management information.
Specifically, the specific steps for obtaining the health index of each user are as follows; obtaining a sleep time standard value and a movement time standard value of each user; analyzing the current sleep time value and the current movement time value of each user with the corresponding sleep time standard value and movement time standard value respectively to obtain a current sleep time value evaluation value and a current movement time value evaluation value of each user; and respectively carrying out comprehensive analysis on the current sleep time value evaluation value and the current movement time value evaluation value of each user to obtain the current life quality index of each user.
The specific formulas for calculating the current sleep time value evaluation value and the current life quality index of each user are as follows: ; wherein, Is the firstThe current sleep time value of the individual user evaluates,Is the firstThe current sleep time value of the individual user,Is the firstThe standard value of the sleep time of the individual user,As a function of the sleep time coefficient,Is the firstThe current quality of life indicator of the individual user,Is the firstThe current motion time value of the individual user evaluates,As a coefficient of the time of motion,,，The number of users is the number, and the current sleep time value evaluation value and the current movement time value evaluation value are no-unit values, so that the calculation can be directly performed.
It should be explained that: the current movement time value evaluation value of each user is calculated to be consistent with the logic for calculating the current sleep time value evaluation value, and the adopted formula logic is also consistent.
The sleep time standard value and the movement time standard value are obtained through health software of the mobile phone end (an application program analyzes data such as the activity mode and the sleep quality of a user and then provides the time standard of sleep and movement based on the analysis).
、The specific calculation process of (1) is as follows: will be the firstThe sleep time standard value and the movement time standard value of each user are added and calculated to obtain the firstQuality of life and value of individual user, then will beAnd respectively carrying out ratio analysis on the sleep time standard value and the movement time standard value of each user and the quality of life sum value, and taking the ratio result as a corresponding coefficient.
In this embodiment, the sleep and exercise habits of each user are allowed to be accurately monitored, the quality of life of the user can be effectively evaluated by comparing the actual value with the personalized standard value, the accuracy makes it possible to give improved advice for specific lifestyle, when the user can see specific differences between his own behavior and the health standard, it is more likely to take action to adjust his own behavior, such as increasing the amount of exercise or adjusting the sleep time, the method is not only helpful for the user to self-manage health, but also can motivate them to form healthier lifestyle, the quality of life index of the user is determined by using the analysis based on the data, scientific health advice and intervention measures are provided for the user, the method is based on the actual data of each user, and is more personalized and accurate, by continuously monitoring and feeding back the sleeping and exercise conditions of the user, the method is helpful for improving the health consciousness of the user, the user can understand the direct influence of the sleeping and exercise on the health thereof more clearly, the attention and understanding of the health information of the user can be increased, and more user data can be collected and analyzed as the health management application can provide more personal data, furthermore, the health advice and health advice can be provided by the user can be optimized according to the continuous and optimized health advice.
Specifically, the comprehensive health evaluation index of each user is respectively subjected to discriminant analysis with the corresponding set health threshold range, if the comprehensive health evaluation index does not accord with the corresponding set health threshold range, the user is marked with health abnormality, and meanwhile, the specific process of sending the health abnormality instruction to the related staff is as follows: judging whether the comprehensive health evaluation index of each user respectively accords with the corresponding set health threshold range, identifying the users of which the comprehensive health evaluation index does not accord with the corresponding set health threshold range (namely, the comprehensive health evaluation index is out of the corresponding set health threshold range), and marking the users as health abnormal users; respectively carrying out abnormality analysis on the current physiological index, the current environment index and the current life quality index of the user with abnormal health, identifying the abnormal index and simultaneously sending a health abnormal instruction to related staff.
The specific process is as follows: judging whether the current physiological index of the healthy abnormal user accords with the threshold range of the corresponding set physiological index, if the current physiological index of the healthy abnormal user accords with the threshold range of the corresponding set physiological index (namely, the current physiological index is within the threshold range of the corresponding set physiological index), not marking, if the current physiological index of the healthy abnormal user does not accord with the threshold range of the corresponding set physiological index and the current physiological index is higher than the threshold range of the corresponding set physiological index, sending a first physiological suggestion of the user to the relevant staff (namely, suggesting that the user reduces the intake of high-salt, high-sugar or high-fat food and carries out blood test, electrocardiogram or imaging examination), and if the current physiological index of the healthy abnormal user does not accord with the threshold range of the corresponding set physiological index and the current physiological index is lower than the threshold range of the corresponding set physiological index, sending a second physiological suggestion of the user to the relevant staff (namely, suggesting that the user increases the intake of food rich in relevant nutrients such as increasing protein, vitamin or mineral).
Judging whether the current environmental index accords with the threshold range of the set environmental index, if the current environmental index accords with the threshold range of the set environmental index (namely, the current environmental index is in the threshold range of the corresponding set environmental index), marking is not carried out, if the current environmental index does not accord with the threshold range of the set environmental index and is higher than the threshold range of the set environmental index, a user first environmental suggestion is sent to related staff (namely, the indoor air purification system is suggested to be started, a door and window are closed to reduce the entering of outdoor polluted air, meanwhile, the indoor green planting can be considered to be added to help absorb harmful substances in the air, and the indoor air quality is improved), and if the current environmental index does not accord with the threshold range of the set environmental index and is lower than the threshold range of the set environmental index, a user second environmental suggestion is sent to the related staff (namely, the window and the ventilation system are suggested to be opened to improve the air circulation and update the indoor air, in addition, the normal operation of the air purification equipment can be checked and maintained, and the abnormal air quality reading caused by the equipment problem is avoided).
Judging whether the current life quality index of the healthy abnormal user accords with the threshold range of the corresponding set life quality index, if the current life quality index of the healthy abnormal user accords with the threshold range of the corresponding set life quality index (namely, the current life quality index is within the threshold range of the corresponding set life quality index), the current life quality index is not marked, if the current life quality index of the healthy abnormal user does not accord with the threshold range of the corresponding set life quality index and the current life quality index is higher than the threshold range of the corresponding set life quality index, sending a user first life quality suggestion (namely, suggesting that the user reasonably schedules sleeping and exercise time to keep balance) to related staff, and if the current life quality index of the healthy abnormal user does not accord with the threshold range of the corresponding set life quality index and the current life quality index is lower than the threshold range of the corresponding set life quality index, sending a user second life quality suggestion (namely, suggesting that the user increases a proper amount of exercise and adjusts sleeping time and provides education related to healthy life habits, including importance of sleeping and exercise) to the related staff.
In this embodiment, the method can identify initial health anomalies before health problems become serious, by comparing physiological, environmental and life quality indexes of individuals with standard thresholds, the method can discover abnormal conditions in time and rapidly take precautions, thereby reducing the risk of disease development and improving the overall health condition of users, according to the specific conditions of each user, the method provides customized health improvement suggestions aiming at the specific health indexes of users, such as heart rate, air quality or life quality, so that intervention measures are more specific and effective, the personalized suggestions help users better understand and manage own health, thereby promoting the change of health behaviors, by the feedback and suggestions of the method, users can more deeply understand scientific principles behind health indexes and the relationship between health behaviors and long-term health, the educational functions not only increase the acceptance and understanding of health information of users, but also can excite the active maintenance of own health of users, besides the physiological health, the method also considers the influence of environmental and life quality factors on health, provides specific suggestions on how to improve indoor air quality, optimize sleep and exercise, and the like, the overall health condition can be better understood and managed by the user, the urgent health conditions can be reduced through the method, the urgent health conditions can be better monitored by the method, the overall health conditions can be better monitored by the method, the urgent health conditions can be better monitored, the medical conditions can be better monitored by the method, and the medical conditions can be better monitored by the clinical conditions can be better monitored, and better in time, and better monitored, and the clinical conditions can be better monitored, and better has long-time life conditions.
Referring to fig. 3, an embodiment of the present invention provides a technical solution: a big data based user information assessment system comprising: the system comprises a data acquisition module, an index analysis module, a comprehensive evaluation module and a judgment analysis module; the data acquisition module is used for acquiring current environment information, current physiological information of each user and current life quality information, and preprocessing the current physiological information and the current life quality information; the index analysis module is used for respectively analyzing the preprocessed current environment information, the current physiological information and the current life quality information of each user to obtain a current environment index, the current physiological index and the current life quality index of each user; the comprehensive evaluation module is used for respectively carrying out comprehensive analysis on the current environment index, the current physiological index and the current life quality index of each user to obtain a comprehensive health evaluation index of each user; the judgment analysis module is used for respectively carrying out judgment analysis on the comprehensive health evaluation index of each user and the corresponding set health threshold range, carrying out health abnormality marking on the user if the comprehensive health evaluation index does not accord with the user corresponding to the set health threshold range, and simultaneously sending a health abnormality instruction to related staff.
In summary, the present application has at least the following effects:
By comprehensively analyzing environmental, physiological and quality of life data, more accurate health state assessment is allowed, simultaneous analysis of multiple health influencing factors can provide more comprehensive health portraits, help identify potential health problems possibly ignored by single index analysis, and provide scientific based health advice in a quantitative and data-driven manner, thereby improving the effectiveness of health management and disease prevention.
The health monitoring becomes dynamic and real-time, allows immediate identification of health anomalies and quick response, and when the health index of the user shows anomalies, can immediately give an alarm and provide corresponding health advice or medical intervention advice, and the immediate feedback mechanism greatly enhances the capability of treating chronic diseases or sudden health events, thereby greatly reducing the occurrence of medical accidents and the deterioration of health conditions.
The system has the advantages that the configuration of health monitoring and intervention resources can be effectively optimized through the processing and analysis modes of the integrated multi-module, the data acquisition module, the index analysis module, the comprehensive evaluation module and the judgment analysis module of the system work cooperatively, so that the efficiency of data processing is improved, the pertinence and timeliness of health intervention measures are ensured, through the automatic data analysis and health evaluation processes, a medical service provider can more accurately determine which users need urgent attention and intervention, and which users have stable health conditions, so that medical resources and manpower are distributed more reasonably.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
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.
Claims (4)
1. The user information evaluation method based on big data is characterized by comprising the following steps:
Acquiring current environment information, current physiological information and current life quality information of each user, and preprocessing;
respectively analyzing the preprocessed current environment information, the current physiological information and the current life quality information of each user to obtain a current environment index, and the current physiological index and the current life quality index of each user;
respectively carrying out comprehensive analysis on the current environment index, the current physiological index and the current life quality index of each user to obtain a comprehensive health evaluation index of each user;
Respectively carrying out discriminant analysis on the comprehensive health evaluation index of each user and the corresponding set health threshold range, if the comprehensive health evaluation index does not accord with the user in the corresponding set health threshold range, marking the health abnormality of the user, and simultaneously sending a health abnormality instruction;
the current environment information is specifically a current air quality value and a current noise level value in a set area, the current physiological information is specifically a current heart rate value, a current blood oxygen concentration value and a current blood pressure value of each user, and the current life quality information is specifically a current sleep time value and a current movement time value;
the specific steps for obtaining the current environment index are as follows:
acquiring an air quality standard value and a noise level standard value in a set area;
comprehensively analyzing the current air quality value and the current noise level value in the set area with the air quality standard value and the noise level standard value to obtain a current environment index;
the specific formula for calculating the current environmental index is as follows:
；
Wherein, As the current air quality assessment value,To set the current air quality in the area,To set the air quality standard value in the area,Is the air quality coefficient of the air, and the air quality coefficient of the air is the air quality coefficient of the air,As an index of the current environment,To set the current noise level estimate in the region,As a coefficient of the level of the noise,，Is a natural constant;
The specific steps for obtaining the current physiological index of each user are as follows:
Obtaining a heart rate standard value, an blood oxygen concentration standard value and a blood pressure standard value of each user;
Analyzing the current heart rate value, the current blood oxygen concentration value and the current blood pressure value of each user with the corresponding heart rate standard value, the blood oxygen concentration standard value and the blood pressure standard value respectively to obtain a current heart rate distance evaluation value, a current blood oxygen concentration distance evaluation value and a current blood pressure distance evaluation value of each user;
respectively carrying out comprehensive analysis on the current heart rate distance evaluation value, the current blood oxygen concentration distance evaluation value and the current blood pressure distance evaluation value of each user to obtain the current physiological index of each user;
The specific formulas for calculating the current heart rate distance evaluation value, the current blood oxygen concentration distance evaluation value, the current blood pressure distance evaluation value and the current physiological index of each user are as follows:
;
Wherein, Is the firstThe current heart rate distance assessment value of the individual user,Is the firstThe current heart rate value of the individual user,Is the firstThe heart rate standard value of the individual user,Is the firstThe current physiological index of the individual user is,Is the firstThe current blood oxygen distance assessment values of the individual users,Is the firstThe current blood pressure distance assessment value of the individual user,,For the number of users to be counted,Is a natural constant;
The specific steps for obtaining the health index of each user are as follows;
obtaining a sleep time standard value and a movement time standard value of each user;
Analyzing the current sleep time value and the current movement time value of each user with the corresponding sleep time standard value and movement time standard value respectively to obtain a current sleep time value evaluation value and a current movement time value evaluation value of each user;
respectively carrying out comprehensive analysis on the current sleep time value evaluation value and the current movement time value evaluation value of each user to obtain the current life quality index of each user;
The specific formulas for calculating the current sleep time value evaluation value and the current life quality index of each user are as follows:
；
Wherein, Is the firstThe current sleep time value of the individual user evaluates,Is the firstThe current sleep time value of the individual user,Is the firstThe standard value of the sleep time of the individual user,As a function of the sleep time coefficient,Is the firstThe current quality of life indicator of the individual user,Is the firstThe current motion time value of the individual user evaluates,As a coefficient of the time of motion,,，Is the number of users.
2. The big data based user information assessment method according to claim 1, wherein the specific formula for calculating the comprehensive health assessment index of each user is as follows:
；
Wherein, Is the firstThe overall health assessment index of the individual user,As an index of the current environment,Is the firstThe environmental factor of the individual user is determined,Is the firstThe current physiological index of the individual user is,Is the firstThe physiological coefficients of the individual users are used,Is the firstThe current quality of life indicator of the individual user,Is the firstThe living coefficient of the individual user is calculated,，,Is the number of users.
3. The big data based user information evaluation method according to claim 1, wherein the comprehensive health evaluation index of each user is respectively subjected to discriminant analysis with the corresponding set health threshold range, and if there is a user whose comprehensive health evaluation index does not meet the corresponding set health threshold range, the user is subjected to health abnormality marking, and the specific process of sending the health abnormality instruction is as follows:
Judging whether the comprehensive health evaluation index of each user accords with the corresponding set health threshold range or not respectively, and identifying the users of which the comprehensive health evaluation index does not accord with the corresponding set health threshold range, and marking the users as health abnormal users;
and respectively carrying out abnormality analysis on the current physiological index, the current environment index and the current life quality index of the user with abnormal health, identifying the abnormal index and simultaneously sending a health abnormal instruction.
4. A big data based user information evaluation system, applying the big data based user information evaluation method of any one of claims 1-3, comprising: the system comprises a data acquisition module, an index analysis module, a comprehensive evaluation module and a judgment analysis module;
The data acquisition module is used for acquiring current environment information, current physiological information of each user and current life quality information, and preprocessing the current physiological information and the current life quality information;
the index analysis module is used for respectively analyzing the preprocessed current environment information, the current physiological information and the current life quality information of each user to obtain a current environment index, the current physiological index and the current life quality index of each user;
the comprehensive evaluation module is used for respectively carrying out comprehensive analysis on the current environment index, the current physiological index and the current life quality index of each user to obtain a comprehensive health evaluation index of each user;
The judgment and analysis module is used for respectively judging and analyzing the comprehensive health evaluation index of each user and the corresponding set health threshold range, if the comprehensive health evaluation index does not accord with the user in the corresponding set health threshold range, marking the health abnormality of the user, and simultaneously sending the health abnormality instruction.
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| CN113871014A (en) * | 2021-12-01 | 2021-12-31 | 北京妙医佳健康科技集团有限公司 | Autonomous health assisting method and device |
| CN117038082A (en) * | 2023-08-21 | 2023-11-10 | 福能(福州)健康体检中心有限公司 | Traditional Chinese medicine health state analysis and evaluation system and device based on big data |
| CN118522454A (en) * | 2024-05-22 | 2024-08-20 | 安徽晶奇网络科技股份有限公司 | Resident health state evaluation system based on multi-source data |
| CN118557182A (en) * | 2024-07-29 | 2024-08-30 | 江苏中科优胜科技有限公司 | Human motion health monitoring system and method thereof |
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| CN117038082A (en) * | 2023-08-21 | 2023-11-10 | 福能(福州)健康体检中心有限公司 | Traditional Chinese medicine health state analysis and evaluation system and device based on big data |
| CN118522454A (en) * | 2024-05-22 | 2024-08-20 | 安徽晶奇网络科技股份有限公司 | Resident health state evaluation system based on multi-source data |
| CN118557182A (en) * | 2024-07-29 | 2024-08-30 | 江苏中科优胜科技有限公司 | Human motion health monitoring system and method thereof |
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