CN111243741A - Digital health management system based on multivariate data - Google Patents
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Abstract
The invention discloses a digital health management system based on multivariate data. The system comprises five parts: the system comprises a data collecting device used for collecting and acquiring personal health related information of a user, a data standardizing device used for data standardizing processing, a data storing device used for storing all data such as health information and analysis results, a data calculating device used for analyzing all collected data information to obtain key results, and an application service device used for arranging the calculation results into reports and implementing intervention and health management. The invention establishes a personal or group health data file, and through the analysis and interpretation of a plurality of data related to the user health, the user can intuitively know the self health condition in a digital form, and according to the analysis result, the system provides a proper living intervention scheme for the user and carries out long-term management, thereby improving the personal health condition.
Description
Technical Field
The invention belongs to the technical field of health management, and particularly relates to a digital health management system based on multivariate data.
Background
With the improvement of the quality of life, the daily diet is richer, but the relationship between nutrition and body health, particularly chronic diseases, is more and more compact and clear, so the demand of the public on nutrition knowledge is stronger. Meanwhile, due to the accelerated pace of life, three meals of urban office workers are basically solved in dining halls of enterprises, restaurants operated by third parties or takeouts, providing reasonably healthy meals for workers is an important aspect of providing employee welfare and ensuring the physical health of the workers, providing healthy, reasonable and healthy meals for customers is a key factor attracting the competitiveness of restaurants and being responsible for public health services, and the restaurants are also important constituent units for providing national healthy meals and improving the physical quality of the nation.
The requirement of diet of human body is different in different growth and development stages, different age groups, different groups and different health condition stages, and according to different situations, according to modern nutrition theory and traditional Chinese medicine theory, it is very important to scientifically and reasonably collocate diet, but because nutrition theory and traditional Chinese medicine theory are extremely complex, and aiming at individual case, it is necessary to analyze various tables and data and perform complex calculation, so most of the schemes in reality are to make nutrition assessment and scheme provision for group reference aiming at the special situation of a certain group, and it is difficult to aim at individual analysis, not to say, to aim at long-term tracking management of individual. This situation has not solved the tangible needs of the public for nutrition.
The current health related detection technology is comprehensive and advanced, besides conventional physical examination and detection of blood sugar, blood pressure, blood fat, uric acid and the like, gene detection and intestinal microorganism detection can provide convenient and accurate detection for users, and the results reflect the health condition of the detected person from one aspect. How to help users improve life through the detection, so that the physical health level is improved, is a problem to be solved.
Aiming at the problems, the digitalized health management system based on the multivariate data utilizes huge and convenient computing resources of cloud computing on the basis of the full modern nutrition theory and the traditional Chinese medicine theory to provide a platform system for intelligent healthy diet nutrition management aiming at individuals for catering service providers. The main functions are based on various personal health and life related information, restaurant food supply chain conditions, chef skills and the like, nutrition diagnosis is immediately carried out on diners, more suitable diet menus are recommended, recording is carried out so as to facilitate long-term management, and meanwhile, viewing, adding, editing and maintaining of nutrition related data and algorithms are carried out for professionals.
Disclosure of Invention
The purpose of the invention is: the digital health management system based on the multivariate data is used for solving the problems in the background technology.
In order to achieve the technical purpose, the technical scheme adopted by the invention is as follows:
a multivariate data-based digital health management system comprising: the device comprises a data collection device, a data standardization processing device, a data storage device, a data calculation device and an application service device.
The data collection device is based on hardware and software and comprises a user side, a management side, a third-party interface, intelligent wearable equipment and a server, the user side is used for collecting user basic data, the management side is used for collecting food material recipe data, medicinal material data, exercise knowledge data, health management data, traditional Chinese medicine health preserving data and literature research data, the third-party interface is used for collecting user physical examination data, wherein the physical examination data of the user comprises conventional physical examination results, biochemical detection results, gene detection results, intestinal flora results and Chinese medicine constitution questionnaire, the intelligent wearable device is used for collecting user motion data, all the user data can be obtained under the condition of user authorization, the server establishes communication with the user side, the management side, the third-party interface and the intelligent wearable device through a network, and establishes network communication with the data standardization processing device.
The data standardization processing device is used for receiving the data collected by the data collection device and standardizing and digitizing the data.
The data storage device is used for storing the standardized data processed by the data standardization processing device, and is also used for storing dynamic data generated by the data calculation device and the application service device, and the data storage device is in communication connection with the data collection device.
The data calculation device takes food material recipe data and medicinal material data on the data storage device as calculation bases, motion knowledge data, health management data, traditional Chinese medicine health preserving data and literature research data as intelligence bases, user basic data, user physical examination data and user motion data are input in individual cases, historical user health data accumulated by the data storage device are taken as model keys, an analysis model is established by using a machine learning method, user health data are calculated, the calculated user health data are transmitted to the application service device for health assessment, and are transmitted to the data storage device for storage.
The application service device evaluates the health state of the user according to user data of the data storage device and health data of the data calculation device, gives an intervention scheme according to an evaluation result, evaluates and modifies the intervention scheme to complete accurate, closed-loop and continuous health management, is in communication connection with the data storage device and the data collection device, and is provided with an output device.
A method for digital health management based on multivariate data, the method comprising the steps of:
a) collecting relevant information for the current user health evaluation through a data collection device;
b) acquiring a current health index of a user through a data storage device, and transmitting the health index to a data calculation device for analysis and calculation, wherein the health index comprises a general health index (body age), a cardiovascular index (heart age), a lung health index (lung age), a nerve health index (nerve age), a skeletal muscle health index (skeletal muscle age), a skin health index (skin age), an endocrine health index (endocrine age), a mental health index (mental age), a life health index (age) and a intestinal health index (intestinal age);
c) transmitting the calculation result of the data calculation device to an application service device, and the application service device proposes a healthy life style suggestion (intervention scheme) of the current user according to the calculation result and gives evaluation to the expected health index (expected body age) of the current user, wherein the healthy intervention guidance method comprises the following steps: the exercise knowledge data, the health management data, the traditional Chinese medicine health preserving data and the literature research data are digitalized, other body indexes of a user are considered in an auxiliary mode based on the main health problems of the user, the dietary nutrition is taken as a main consideration variable, and a nutrition evaluation model suitable for an individual is provided, wherein the model is mainly used for evaluating the food to be taken by the user every meal, and in addition, the model also comprises a nutrition demand, taboo and a recipe scheme, wherein the establishment method of the model is derived from a deep learning method of multi-dimensional data;
d) performing intervention evaluation and intervention scheme adjustment on the healthy lifestyle advice (intervention scheme) to complete periodic and long-term health management, wherein the evaluation and adjustment method of the intervention scheme comprises the following steps: the method and the theoretical basis are based on the health intervention guidance algorithm in the step c), the intervention evaluation result comprises three parts of 'traditional detection data change', 'body health index change' and 'change analysis', and the method for adjusting the intervention scheme is that on the basis of the health intervention guidance algorithm, early result evaluation is added in input factors, and the derived method content with poor effect is added.
By adopting the technical scheme, the data collection device is used for collecting user basic data, food material recipe data, medicinal material data, motion knowledge data, health management data, traditional Chinese medicine health preserving data, literature research data, user physical examination data and user motion data; the user side collects the basic data of the user, simultaneously undertakes the authorization operation of the user on the user information, and is also a basic channel for the user to receive the calculation result and the health evaluation of the system; the management end is a basic channel for uploading data in the system except user data and is also an important port for managing the system, maintaining the system and updating and modifying the system data by a system administrator; the third-party interface is an important channel for collecting the physical examination data of the user, and the data uploaded through the third-party interface has higher accuracy and integrity; the intelligent wearable device is used for knowing the motion data of the user in real time and is an important basis in health assessment; the server is an important communication junction among the user side, the management side, the third-party interface, the intelligent wearable device and the system, user data are uploaded to the system, and user access system data need to pass through the server; the data standardization processing device is used for receiving the data collected by the data collection device, standardizing and carrying out digital processing on the data so as to facilitate subsequent management, calculation analysis and comparison; the data storage device is used for storing all uploaded data and calculation data generated by the system, the data of the user accessing the system are from the data storage device, and the data calculated and analyzed by the data calculation device and the application service device are obtained through the data storage device; the data calculation device establishes an analysis model by using a machine learning method according to data on the data storage device, calculates user health data, transmits the calculated user health data to the application service device for health assessment, and simultaneously transmits the user health data to the data storage device for storage, and the data calculation device also helps a user to calculate nutrition details of own recipes according to the system food recipe data; the application service device evaluates the health state of the user according to the user data of the data storage device and the health data of the data calculation device, gives an intervention scheme according to an evaluation result, evaluates and modifies the intervention scheme to complete accurate, closed-loop and continuous health management, and the output device is mainly used for providing services for the user by an offline health manager;
the invention establishes a personal or group health data file, and through the analysis and interpretation of a plurality of data related to the user health, the user can intuitively know the self health condition in a digital form, and according to the analysis result, the system provides a proper living intervention scheme for the user and carries out long-term management, thereby improving the personal health condition.
Further, all information of the data calculation device must be obtained through the consent and authorization of the user, the analysis model contains all multivariate data which can be related in the health assessment at present, but all information is not required to be obtained, and the analysis model carries out corresponding calculation and analysis based on the data provided by the consent and authorization of the user.
Further defined, the user side comprises an APP, an applet, a public number and a web page, and the client side comprises the APP, the applet and the web page.
Further, the step a) includes normalizing the user data, where the normalizing includes unifying units of the same detection content, and normalizing the result based on a main detection method for the same detection content.
Further, the calculation model used in step b) is established according to data of healthy people and unhealthy people.
Further, the step c) comprises preprocessing the data, wherein the preprocessing comprises screening unreasonable data and performing description datamation in a text form, and the data of the health evaluation of the individual to be researched is not preprocessed.
Further limiting, the calculation model used in the step c) is established according to food material recipe data, medicinal material data, motion knowledge data, traditional Chinese medicine health preserving data, literature research data and data of a priori person.
Compared with the prior art, the invention has the following advantages:
1. the health index is applied in a digitalized manner, so that the visualization of health detection is improved;
2. comprehensive application of multi-dimensional data, digital processing, dependence on mobile equipment and integration of internet technology enable an intervention scheme to be more accurate;
3. a practical and feasible intervention scheme is provided, so that the user is helped to improve the living activities and improve the health in real time;
4. and a huge dynamic database enables an intervention scheme to be more flexible and feasible.
Drawings
The invention is further illustrated by the non-limiting examples given in the accompanying drawings;
FIG. 1 is a schematic flow chart of an embodiment of a multivariate data-based digital health management system according to the present invention;
FIG. 2 is a schematic diagram of a data collection device of an embodiment of a multivariate data-based digital health management system according to the present invention;
FIG. 3 is a schematic diagram of a data computing device and an application service device of an embodiment of a multivariate data-based digital health management system according to the invention;
FIG. 4 is a schematic diagram of a nutritional analysis of an embodiment of a multivariate data-based digital health management system according to the invention;
FIG. 5 is a health service diagram of an embodiment of a digital health management system based on multivariate data according to the present invention.
Detailed Description
In order that those skilled in the art can better understand the present invention, the following technical solutions are further described with reference to the accompanying drawings and examples.
As shown in fig. 1-5, a digital health management system based on metadata of the present invention comprises: the device comprises a data collection device, a data standardization processing device, a data storage device, a data calculation device and an application service device.
The data collecting device is based on hardware and software and comprises a user side, a management side, a third-party interface, intelligent wearable equipment and a server, wherein the user side is used for collecting user basic data, the management side is used for collecting food material recipe data, medicinal material data, motion knowledge data, health management data, traditional Chinese medicine health preserving data and literature research data, the third-party interface is used for collecting user physical examination data, the intelligent wearable device is used for collecting user movement data, all user data are obtained under the condition that a user authorizes the intelligent wearable device, and the server is communicated with the user side, the management side, the third-party interface and the intelligent wearable device through a network and is communicated with the data standardization processing device through the network.
The data standardization processing device is used for receiving the data collected by the data collection device and standardizing and digitizing the data.
The data storage device is used for storing the standardized data processed by the data standardization processing device, the data storage device is also used for storing dynamic data generated by the data calculation device and the application service device, and the data storage device is in communication connection with the data collection device.
The data calculation device takes food material recipe data and medicinal material data on the data storage device as calculation bases, motion knowledge data, health management data, traditional Chinese medicine health preserving data and literature research data as intelligence bases, user basic data, user physical examination data and user motion data are input in individual cases, historical user health data accumulated by the data storage device are taken as model keys, an analysis model is established by using a machine learning method, user health data are calculated, the calculated user health data are transmitted to the application service device for health assessment, and meanwhile, the user health data are transmitted to the data storage device for storage.
The application service device evaluates the health state of the user according to the user data of the data storage device and the health data of the data calculation device, gives an intervention scheme according to an evaluation result, evaluates and modifies the intervention scheme to complete accurate, closed-loop and continuous health management, is in communication connection with the data storage device and the data collection device, and is provided with an output device.
A digital health management method based on multivariate data comprises the following steps:
a) collecting relevant information for the current user health evaluation through a data collection device;
b) acquiring a current health index of a user through a data storage device, and transmitting the health index to a data calculation device for analysis and calculation, wherein the health index comprises a general health index (body age), a cardiovascular index (heart age), a lung health index (lung age), a nerve health index (nerve age), a skeletal muscle health index (skeletal muscle age), a skin health index (skin age), an endocrine health index (endocrine age), a mental health index (mental age), a life health index (age) and a intestinal health index (intestinal age);
c) transmitting the calculation result of the data calculation device to an application service device, and the application service device proposes a healthy life style suggestion (intervention scheme) of the current user according to the calculation result and evaluates an expected health index (expected body age) of the current user, wherein the healthy intervention guidance method comprises the following steps: the exercise knowledge data, the health management data, the traditional Chinese medicine health preserving data and the literature research data are digitalized, other body indexes of a user are considered in an auxiliary mode based on the main health problems of the user, the dietary nutrition is taken as a main consideration variable, and a nutrition evaluation model suitable for an individual is provided, wherein the model is mainly used for evaluating the food to be taken by the user every meal, and in addition, the model also comprises a nutrition demand, taboo and a recipe scheme, wherein the establishment method of the model is derived from a deep learning method of multi-dimensional data;
d) performing intervention evaluation and intervention scheme adjustment on the healthy lifestyle advice (intervention scheme) to complete periodic and long-term health management, wherein the evaluation and adjustment method of the intervention scheme comprises the following steps: the method and the theoretical basis are based on the health intervention guidance algorithm in the step c), the intervention evaluation result comprises three parts of 'traditional detection data change', 'body health index change' and 'change analysis', and the method for adjusting the intervention scheme is that on the basis of the health intervention guidance algorithm, early result evaluation is added in input factors, and the derived method content with poor effect is added.
By adopting the technical scheme, the data collection device is used for collecting user basic data, food material recipe data, medicinal material data, motion knowledge data, health management data, traditional Chinese medicine health preserving data, literature research data, user physical examination data and user motion data; the user side collects the basic data of the user, simultaneously undertakes the authorization operation of the user on the user information, and is also a basic channel for the user to receive the calculation result and the health evaluation of the system; the management end is a basic channel for uploading data in the system except user data and is also an important port for managing the system, maintaining the system and updating and modifying the system data by a system administrator; the third-party interface is an important channel for collecting the physical examination data of the user, and the data uploaded through the third-party interface has higher accuracy and integrity; the intelligent wearable device is used for knowing the motion data of the user in real time and is an important basis in health assessment; the server is an important communication junction among the user side, the management side, the third-party interface, the intelligent wearable device and the system, user data are uploaded to the system, and user access system data need to pass through the server; the data standardization processing device is used for receiving the data collected by the data collection device, standardizing and carrying out digital processing on the data so as to facilitate subsequent management, calculation analysis and comparison; the data storage device is used for storing all uploaded data and calculation data generated by the system, the data of the user accessing the system are from the data storage device, and the data calculated and analyzed by the data calculation device and the application service device are obtained through the data storage device; the data calculation device establishes an analysis model by using a machine learning method according to data on the data storage device, calculates user health data, transmits the calculated user health data to the application service device for health assessment, and simultaneously transmits the user health data to the data storage device for storage, and the data calculation device also helps a user to calculate nutrition details of own recipes according to the system food recipe data; the application service device evaluates the health state of the user according to the user data of the data storage device and the health data of the data calculation device, gives an intervention scheme according to an evaluation result, evaluates and modifies the intervention scheme to complete accurate, closed-loop and continuous health management, and the output device is mainly used for providing services for the user by an offline health manager;
the invention establishes a personal or group health data file, and through the analysis and interpretation of a plurality of data related to the user health, the user can intuitively know the self health condition in a digital form, and according to the analysis result, the system provides a proper living intervention scheme for the user and carries out long-term management, thereby improving the personal health condition.
Preferably, all information of the data calculation device must be obtained through the approval and authorization of the user, the analysis model contains all multivariate data which can be related in the current health evaluation, but all information is not required to be obtained, and the analysis model carries out corresponding calculation and analysis based on the data provided by the approval and authorization of the user.
Preferred clients include APPs, applets, pubic numbers, and web pages, and clients include APPs, applets, and web pages.
Preferably, the step a) includes normalizing the user data, the normalizing includes unifying units of the same detection content, and the result is normalized based on a main detection method for the same detection content.
Preferably, the computational model used in step b) is established on the basis of data from healthy and non-healthy persons.
Preferably, step c) comprises preprocessing the data, wherein preprocessing comprises screening unreasonable data and converting the unreasonable data into description data in a text form, and the data of the health evaluation of the individual to be researched is not preprocessed.
Preferably, the calculation model used in the step c) is established according to food material recipe data, medicinal material data, motion knowledge data, traditional Chinese medicine health preserving data, literature research data and data of a priori person.
The foregoing embodiments are merely illustrative of the principles of the present invention and its efficacy, and are not to be construed as limiting the invention. Any person skilled in the art can modify or change the above-mentioned embodiments without departing from the spirit and scope of the present invention. Accordingly, it is intended that all equivalent modifications or changes which can be made by those skilled in the art without departing from the spirit and technical spirit of the present invention be covered by the claims of the present invention.
Claims (8)
1. A digital health management system based on multivariate data, comprising: the device comprises a data collection device, a data standardization processing device, a data storage device, a data calculation device and an application service device.
The data collection device is based on hardware and software and comprises a user side, a management side, a third-party interface, intelligent wearable equipment and a server, the user side is used for collecting user basic data, the management side is used for collecting food material recipe data, medicinal material data, exercise knowledge data, health management data, traditional Chinese medicine health preserving data and literature research data, the third-party interface is used for collecting user physical examination data, wherein the physical examination data of the user comprises conventional physical examination results, biochemical detection results, gene detection results, intestinal flora results and Chinese medicine constitution questionnaire, the intelligent wearable device is used for collecting user motion data, all the user data can be obtained under the condition of user authorization, the server establishes communication with the user side, the management side, the third-party interface and the intelligent wearable device through a network, and establishes network communication with the data standardization processing device.
The data standardization processing device is used for receiving the data collected by the data collection device and standardizing and digitizing the data.
The data storage device is used for storing the standardized data processed by the data standardization processing device, and is also used for storing dynamic data generated by the data calculation device and the application service device, and the data storage device is in communication connection with the data collection device.
The data calculation device takes food material recipe data and medicinal material data on the data storage device as calculation bases, motion knowledge data, health management data, traditional Chinese medicine health preserving data and literature research data as intelligence bases, user basic data, user physical examination data and user motion data are input in individual cases, historical user health data accumulated by the data storage device are taken as model keys, an analysis model is established by using a machine learning method, user health data are calculated, the calculated user health data are transmitted to the application service device for health assessment, and are transmitted to the data storage device for storage.
The application service device evaluates the health state of the user according to user data of the data storage device and health data of the data calculation device, gives an intervention scheme according to an evaluation result, evaluates and modifies the intervention scheme to complete accurate, closed-loop and continuous health management, is in communication connection with the data storage device and the data collection device, and is provided with an output device.
2. The digital health management system based on multivariate data as defined in claim 1, wherein: all information of the data calculation device must be obtained through the consent and authorization of the user, the analysis model contains all multivariate data which can be related in the current health evaluation, but all information is not required to be obtained, and the analysis model carries out corresponding calculation and analysis based on the data provided by the consent and authorization of the user.
3. The digital health management system based on multivariate data as defined in claim 1, wherein: the client side comprises an APP, an applet, a public number and a web page, and the client side comprises the APP, the applet and the web page.
4. A method for digital health management based on multivariate data according to any of claims 1-3, characterized in that the method comprises the following steps:
a) collecting relevant information for the current user health evaluation through a data collection device;
b) acquiring a current health index of a user through a data storage device, and transmitting the health index to a data calculation device for analysis and calculation, wherein the health index comprises a general health index (body age), a cardiovascular index (heart age), a lung health index (lung age), a nerve health index (nerve age), a skeletal muscle health index (skeletal muscle age), a skin health index (skin age), an endocrine health index (endocrine age), a mental health index (mental age), a life health index (age) and a intestinal health index (intestinal age);
c) transmitting the calculation result of the data calculation device to an application service device, and the application service device proposes a healthy life style suggestion (intervention scheme) of the current user according to the calculation result and gives evaluation to the expected health index (expected body age) of the current user, wherein the healthy intervention guidance method comprises the following steps: the exercise knowledge data, the health management data, the traditional Chinese medicine health preserving data and the literature research data are digitalized, other body indexes of a user are considered in an auxiliary mode based on the main health problems of the user, the dietary nutrition is taken as a main consideration variable, and a nutrition evaluation model suitable for an individual is provided, wherein the model is mainly used for evaluating the food to be taken by the user every meal, and in addition, the model also comprises a nutrition demand, taboo and a recipe scheme, wherein the establishment method of the model is derived from a deep learning method of multi-dimensional data;
d) performing intervention evaluation and intervention scheme adjustment on the healthy lifestyle advice (intervention scheme) to complete periodic and long-term health management, wherein the evaluation and adjustment method of the intervention scheme comprises the following steps: the method and the theoretical basis are based on the health intervention guidance algorithm in the step c), the intervention evaluation result comprises three parts of 'traditional detection data change', 'body health index change' and 'change analysis', and the method for adjusting the intervention scheme is that on the basis of the health intervention guidance algorithm, early result evaluation is added in input factors, and the derived method content with poor effect is added.
5. The method of claim 4, wherein the method comprises: the step a) comprises the step of carrying out standardization processing on user data, wherein the standardization processing comprises unifying units of the same detection content, and for the same detection content, the result is standardized based on a main detection method.
6. The method of claim 4, wherein the method comprises: the calculation model used in the step b) is established according to data of healthy people and unhealthy people.
7. The method of claim 4, wherein the method comprises: and the step c) comprises preprocessing the data, wherein the preprocessing comprises screening unreasonable data and converting the unreasonable data into description data in a text form, and the data of the health evaluation of the individual to be researched is not preprocessed.
8. The method of claim 4, wherein the method comprises: the calculation model used in the step c) is established according to food material recipe data, medicinal material data, motion knowledge data, traditional Chinese medicine health preserving data, literature research data and data of a priori person.
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| CN113724836A (en) * | 2021-08-11 | 2021-11-30 | 浙江云澎科技有限公司 | Digital healthy dining room system |
| CN113724864A (en) * | 2021-09-10 | 2021-11-30 | 北京软创展益科技有限公司 | Health management visualization system and method |
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