CN112185554A - Method and system for analyzing and predicting health condition based on health information - Google Patents
Method and system for analyzing and predicting health condition based on health information Download PDFInfo
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Abstract
The application discloses a method for analyzing and predicting health conditions based on health information, which comprises the following steps: acquiring health data through health data acquisition equipment; establishing an initial analysis and prediction model and a comprehensive analysis and prediction training set; training the initial analysis and prediction model by using a comprehensive analysis and prediction training set to obtain a comprehensive analysis and prediction model; and analyzing and predicting the input health information by using the comprehensive analysis and prediction model, and outputting the obtained analysis and prediction results. The initial analysis and prediction model and the comprehensive analysis and prediction training set obtained by the method can be suitable for risk analysis and prediction before disease occurrence, accurate analysis of core disease causes when core diseases coexist with co-diseases, and accurate analysis and prediction of disease development paths. The application also provides a system, equipment and a readable storage medium for analyzing and predicting the health condition based on the health information, and the system, the equipment and the readable storage medium have the beneficial effects.
Description
Technical Field
The present application relates to the field of health condition analysis and prediction, and more particularly, to a method, system, device and readable storage medium for health condition analysis and prediction based on health information.
Background
With the continuous development of scientific technology, big data and cloud computing are generally applied to various industries, great convenience is brought to the life of people, the healthy big data are new terms appearing with digital wave and information modernization in recent years, the purpose of the big data is to perform specialized processing and recycling on the healthy data, and the big data has positive significance on physical condition monitoring, disease prevention, health trend analysis and prediction.
However, in the prior art, only simple wearable devices or home medical devices, such as blood glucose meters, blood pressure meters, etc., are adopted to read single and simple few human physiological or biochemical indicators or limited combinations thereof and upload the unilateral and monotonous historical data to a cloud server, the upper and lower limit standards and recommendation standards given to health signs by the historical curves and rigid clinical guidelines and health guidelines of the data are relied on to manage and predict the health status, the disease risk and health status of the user cannot be truly reflected, even the future risk trend of the user aiming at sexual diseases cannot be reflected, only the upper limit or lower limit of some key indicators can be simply warned, which helps some single physiological or biochemical indicators to be controlled in a simple clinical range, and old evidence-based medical systems such as the referred clinical standards, etc., often develop and are established several decades ago, the method is suitable for diagnosing diseases and providing a treatment scheme, is not suitable for risk prediction before the diseases occur, accurate analysis of core etiology and accurate prediction of disease development path when core diseases coexist with co-diseases, and completely breaks away from the requirements of modern implementation of active disease prevention, health promotion, disease management and the like.
Therefore, how to improve the accuracy of health analysis and prediction based on health information is a technical problem that needs to be solved by those skilled in the art.
Disclosure of Invention
The invention aims to provide a method, a system, equipment and a readable storage medium for analyzing and predicting health conditions based on health information, which are used for improving the accuracy of health analysis and prediction based on the health information.
To solve the above technical problem, the present application provides a method for analyzing and predicting health status based on health information, the method comprising:
acquiring health data through health data acquisition equipment, wherein the health data comprises at least one item of health information, human body characteristic data and behavior data;
carrying out data aggregation and standardization on the health data to form a structured database and an unstructured database, carrying out statistical analysis and data mining, and establishing an initial analysis and prediction model and a comprehensive analysis and prediction training set;
training the initial analysis and prediction model by using the comprehensive analysis and prediction training set to obtain a comprehensive analysis and prediction model;
and analyzing and predicting the input health information by using the comprehensive analysis and prediction model, and outputting the obtained analysis and prediction result.
Optionally, the health data is subjected to data aggregation and standardization to form a structured and unstructured database, statistical analysis and data mining are performed, and an initial analysis and prediction model and a comprehensive analysis and prediction training set are established, including:
carrying out data aggregation and standardization on the health data to form a structured database and an unstructured database;
classifying the health data in the structured and unstructured databases according to the type of the health data acquisition device;
and performing relevance architecture according to the category of each health data to establish the initial analysis and prediction model.
Optionally, the health data is subjected to data aggregation and standardization to form a structured and unstructured database, statistical analysis and data mining are performed, and an initial analysis and prediction model and a comprehensive analysis and prediction training set are established, including:
and performing data mining on the health data to obtain an incidence relation between the human health state and the health information, and establishing the comprehensive analysis and prediction training set according to the incidence relation.
Optionally, the acquiring health data by the health data acquiring device includes:
acquiring the health data in the health data acquisition equipment through a preset communication protocol;
the outputting of the obtained analysis and prediction results correspondingly comprises:
acquiring and outputting the obtained analysis and prediction results to the health data acquisition equipment through the preset communication protocol;
the preset communication protocol comprises at least one of Wi-Fi protocol, Bluetooth protocol, near field communication protocol, 4G protocol and 5G protocol.
Optionally, after outputting the obtained analysis and prediction results, the method further includes:
and outputting a corresponding preventive health scheme according to the analysis and prediction results, wherein the preventive health scheme comprises at least one of a personal body type control scheme, a core biochemical index improvement scheme, a personal diet scheme and a sports scheme.
Optionally, the analysis and prediction result includes at least one of a body type analysis and prediction result, a survival and disability rate analysis and prediction result, a physiological system health analysis and prediction result, a mental health analysis and prediction result, a caloric expenditure and intake analysis and prediction result, a chronic disease risk analysis and prediction result, an intensive risk analysis and prediction result, and a cancer risk analysis and prediction result.
Optionally, the health data acquisition device includes at least one of wearable health data monitoring equipment, smart home products, home health data monitoring equipment, and medical sensors.
The present application further provides a system for analyzing and predicting health status based on health information, the system comprising:
the health data acquisition device is used for acquiring health data, wherein the health data comprises at least one of health information, human body characteristic data and behavior data;
the establishing module is used for carrying out data aggregation and standardization on the health data to form a structured database and an unstructured database, carrying out statistical analysis and data mining, and establishing an initial analysis and prediction model and a comprehensive analysis and prediction training set;
the training module is used for training the initial analysis and prediction model by utilizing the comprehensive analysis and prediction training set to obtain a comprehensive analysis and prediction model;
and the analysis and prediction module is used for analyzing and predicting the input health information by utilizing the comprehensive analysis and prediction model and outputting the obtained analysis and prediction result.
The present application further provides a device for analyzing and predicting a health condition based on health information, the device for analyzing and predicting a health condition based on health information comprising:
a memory for storing a computer program;
a processor for implementing the steps of the method for analyzing and predicting a health condition based on health information as described in any one of the above when the computer program is executed.
The present application also provides a readable storage medium having stored thereon a computer program which, when being executed by a processor, carries out the steps of the method for analyzing and predicting a health condition based on health information according to any of the above-mentioned methods.
The application provides a method for analyzing and predicting health conditions based on health information, which comprises the following steps: acquiring health data through health data acquisition equipment, wherein the health data comprises at least one item of health information, human body characteristic data and behavior data; carrying out data aggregation and standardization on the health data to form a structured database and an unstructured database, carrying out statistical analysis and data mining, and establishing an initial analysis and prediction model and a comprehensive analysis and prediction training set; training the initial analysis and prediction model by using a comprehensive analysis and prediction training set to obtain a comprehensive analysis and prediction model; and analyzing and predicting the input health information by using the comprehensive analysis and prediction model, and outputting the obtained analysis and prediction results.
The technical proposal provided by the application establishes an initial analysis and prediction model and a comprehensive analysis and prediction training set by carrying out statistical analysis and data mining on the health data acquired by the health data acquisition equipment, then training the initial analysis and prediction model by using a comprehensive analysis and prediction training set to obtain a comprehensive analysis and prediction model, finally analyzing and predicting the input health information by using the comprehensive analysis and prediction model, outputting the obtained analysis and prediction result, by comprehensively analyzing and mining the health data acquired by different health data acquisition equipment, the obtained initial analysis and prediction model and comprehensive analysis and prediction training set can be suitable for risk analysis and prediction before disease occurrence, accurate analysis of core disease causes when core diseases coexist with co-diseases, and accurate analysis and prediction of disease development paths. The application also provides a system, equipment and a readable storage medium for analyzing and predicting the health condition based on the health information, which have the beneficial effects and are not repeated herein.
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In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a flowchart of a method for analyzing and predicting health status based on health information according to an embodiment of the present disclosure;
FIG. 2 is a block diagram of a system for analyzing and predicting health conditions based on health information according to an embodiment of the present disclosure;
fig. 3 is a block diagram of an apparatus for analyzing and predicting health status based on health information according to an embodiment of the present disclosure.
Detailed Description
The core of the application is to provide a method, a system, equipment and a readable storage medium for analyzing and predicting health conditions based on health information, which are used for improving the accuracy of health analysis and prediction based on the health information.
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Based on the fact that in the prior art, only simple wearable equipment or household medical equipment such as a blood glucose meter and a sphygmomanometer are adopted, single and simple few human physiological or biochemical indexes or limited combinations thereof are read for health condition analysis and prediction, the disease risk and the health condition of a user cannot be truly reflected, even the future risk trend of the user aiming at sexual diseases cannot be reflected, only upper limit or lower limit simple warning can be made on certain current key indexes, certain single physiological or biochemical indexes are controlled in a simple clinical range, and old evidence-based medical systems such as referred clinical standards and the like are often developed and established dozens of years ago, are suitable for disease diagnosis and treatment scheme giving, and are not suitable for risk analysis and prediction before disease occurrence, accurate analysis of core etiology and accurate analysis and prediction of disease development path when core diseases and co-diseases coexist, the present application is completely independent of the requirements of modern implementation of active disease prevention, health promotion, disease management, etc., and provides a method for analyzing and predicting health conditions based on health information, which is used for solving the above problems.
Referring to fig. 1, fig. 1 is a flowchart illustrating a method for analyzing and predicting a health condition based on health information according to an embodiment of the present disclosure.
The method specifically comprises the following steps:
s101: acquiring health data through health data acquisition equipment;
the health data acquisition device as referred to herein may comprise at least one of a wearable health data monitoring device, a smart home product, a home health data monitoring device, a medical sensor, wherein:
the wearable health data monitoring device may include a smart bracelet, a glove or garment with a temperature sensor, a wearable item with a heart rate sensor, or the like;
the household health data monitoring equipment can comprise a weight scale, a height measuring device, a thermometer, a stethoscope, a sphygmomanometer, an electrocardio monitor, a glucometer and the like;
the medical sensors may include visual sensors, auditory sensors, olfactory sensors, nano-smart wire sensors, wireless cardiac sensors, "thin film" sensors for detecting cancer, breath detection sensors, and the like.
The health data mentioned herein includes at least one of health information, human characteristic data, and behavior data.
Based on the fact that only a single and simple few human physiological or biochemical indexes or limited combinations thereof can be read for analyzing and predicting the health condition in the prior art, the disease risk and the health condition of a user cannot be truly reflected, even the future risk trend of the user aiming at diseases cannot be reflected, and only upper limit or lower limit simple warning can be given to certain current key indexes, the initial analysis and prediction model and the comprehensive analysis and prediction training set obtained by comprehensively analyzing and data mining health data obtained by different health data acquisition equipment have the correlation characteristics of various health influence factors and the physical characteristics of individual body types, the correlation characteristics of various health influence factors and various physiological and biochemical examination values (examination values), the physical characteristics of individual body types, the correlation characteristics of various examination values (examination values), and the correlation characteristics of various health influence factors and various slow disease combinations, The method is characterized in that the method comprises the steps of obtaining a body characteristic of a personal figure and a correlation characteristic of multiple chronic disease combinations, obtaining examination values of all the examination values and the correlation characteristic of the multiple chronic disease combinations, combining effective analysis and prediction modes, constructing an all-around generation multiple chronic disease occurrence risk analysis and prediction mode, promoting medical prevention and personal health, benefiting integrated medical application of the multiple chronic diseases, and further being suitable for risk analysis and prediction before disease occurrence, accurate analysis of core causes when the core diseases coexist with common diseases, and accurate analysis and prediction of disease development paths.
S102: carrying out data aggregation and standardization on the health data to form a structured database and an unstructured database, carrying out statistical analysis and data mining, and establishing an initial analysis and prediction model and a comprehensive analysis and prediction training set;
optionally, the data aggregation and normalization of the health data mentioned herein to form structured and unstructured databases may be implemented by performing the following steps:
the received health data are arranged to obtain data to be processed with the same format;
processing the data to be processed to obtain standard data; the processing operation comprises at least one of data cleaning, data interpolation, data conversion, data standardization and data verification;
structured and unstructured databases based on standard data.
Optionally, the health data specification is set according to the original service requirement of the health data, so that the health data can be optimally applied, and the converged and integrated health data can reach a consistency storage specification, before statistical analysis and data mining are performed on the health data, the following steps can be further performed to converge and integrate the source data:
unit format name unification: the data with the same meaning is determined, if the data from different sources are stored with different names, for example, the GENDER may be stored with the names of SEX, GENER, ID _ SEX, etc., and the data are arranged in a consistent manner in the process of aggregation and integration, and are considered in a consistent manner by the overall plan in principle, and the most suitable rule is given, so that the names of the data files are consistent with the arrangement rule.
The unit format type is uniformized: defining the data with the same meaning, if the data from different sources are stored in different storage formats, for example, originally in a character form or a digital form, performing a uniform setting in the convergence integration process; the date originally adopting the date with the time pattern or the character pattern is stored, and the date is stored in a uniform pattern in consideration of the convenience of subsequent application.
Unit format length unification: the data with the same meaning is determined, if the data from different sources are stored in different lengths, for example, the same text with different lengths is stored, the consistent setting is performed in the convergence and integration process, and the data is planned with the longest length in principle, thereby avoiding the situation of information loss caused by source data truncation.
Optionally, the initial analysis and prediction model may be established by performing a correlation architecture according to the category of each health data, that is, performing data aggregation and standardization on the health data to form a structured and unstructured database, performing statistical analysis and data mining, and establishing the initial analysis and prediction model and a comprehensive analysis and prediction training set, which may specifically be:
carrying out data aggregation and standardization on the health data to form a structured database and an unstructured database;
classifying the health data in the structured and unstructured databases according to the type of the health data acquisition device;
and performing relevance architecture according to the category of each health data to establish the initial analysis and prediction model.
Optionally, a comprehensive analysis and prediction training set may be established according to an association relationship between the health state of the human body and the health information, that is, the health data is subjected to data aggregation and standardization to form a structured and unstructured database, statistical analysis and data mining are performed, and an initial analysis and prediction model and a comprehensive analysis and prediction training set are established, which may specifically be:
and performing data mining on the health data to obtain an incidence relation between the human health state and the health information, and establishing the comprehensive analysis and prediction training set according to the incidence relation.
In a specific embodiment, the health data collected and integrated may be analyzed and researched by various statistical methods, various research analysis model building, big data mining and application, etc. according to the purpose and category of the planning analysis, where the health data acquired by the wearable health data acquisition device is taken as an example, the step may provide various possible therapeutic treatments or analysis of possible health situations through the health data such as heart rate, body temperature, weight, height, blood pressure, blood sugar, etc. for users of specific gender and age, and corresponding to the situations such as disease types, disease incidence, prevalence, mortality, treatment and treatment modes, medication combinations, etc.
S103: training the initial analysis and prediction model by using a comprehensive analysis and prediction training set to obtain a comprehensive analysis and prediction model;
s104: and analyzing and predicting the input health information by using the comprehensive analysis and prediction model, and outputting the obtained analysis and prediction results.
Optionally, the comprehensive analysis and prediction model mentioned in the present invention may also be deployed to an internet cloud to form a comprehensive big data "healthy cloud" and provide real-time big data operation for various kinds of healthy data acquisition devices, that is, the step S101 mentioned above, where the healthy data is acquired by the healthy data acquisition devices, specifically, the step may be:
acquiring health data in health data acquisition equipment through a preset communication protocol;
on this basis, the analysis and prediction results output in this step may correspond to:
obtaining and outputting the obtained analysis and prediction results to health data obtaining equipment through a preset communication protocol;
the preset communication protocol comprises at least one of Wi-Fi protocol, Bluetooth protocol, near field communication protocol, 4G protocol and 5G protocol.
Optionally, the related health data may also be output to the health data acquisition device based on warning lines such as a health value baseline, an upper limit and a lower limit of a value normal range, and the like, which are given by the personal health risk analysis result and are specific to the user, for health risk warning, early warning, device parameter monitoring alarm, and the like;
optionally, after outputting the obtained analysis and prediction results, the method further includes:
and outputting a corresponding preventive health scheme according to the analysis and prediction results, wherein the preventive health scheme comprises at least one of a personal body type control scheme, a core biochemical index improvement scheme, a personal diet scheme and a sports scheme.
Optionally, the analysis and prediction results mentioned herein may include at least one of body type analysis and prediction results, survival and disability rate analysis and prediction results, physiological system health analysis and prediction results, mental health analysis and prediction results, caloric expenditure and intake analysis and prediction results, chronic disease risk analysis and prediction results, severe risk analysis and prediction results, cancer risk analysis and prediction results.
Based on the technical scheme, the method for analyzing and predicting the health condition based on the health information comprises the steps of conducting statistical analysis and data mining on the health data acquired by health data acquisition equipment, establishing an initial analysis and prediction model and a comprehensive analysis and prediction training set, then utilizing the comprehensive analysis and prediction training set to train the initial analysis and prediction model to obtain a comprehensive analysis and prediction model, finally utilizing the comprehensive analysis and prediction model to analyze and predict the input health information, outputting the obtained analysis and prediction results, and conducting comprehensive analysis and data mining on the health data acquired by different health data acquisition equipment, so that the obtained initial analysis and prediction model and comprehensive analysis and prediction training set can be suitable for risk analysis and prediction before disease occurrence and accurate analysis and prediction of core disease causes when the core diseases coexist with the common diseases, Accurate analysis and prediction of disease progression pathways.
Referring to fig. 2, fig. 2 is a block diagram of a system for analyzing and predicting health status based on health information according to an embodiment of the present disclosure.
The system may include:
an acquisition module 100, configured to acquire health data through a health data acquisition device;
the establishing module 200 is used for performing statistical analysis and data mining on the health data, and establishing an initial analysis and prediction model and a comprehensive analysis and prediction training set;
a training module 300, configured to train the initial analysis and prediction model by using a comprehensive analysis and prediction training set to obtain a comprehensive analysis and prediction model;
and an analysis and prediction module 400 configured to analyze and predict the input health information by using the comprehensive analysis and prediction model, and output the obtained analysis and prediction result.
On the basis of the foregoing embodiment, in a specific embodiment, the establishing module 200 may include:
the classification submodule is used for classifying the health data according to the type of the health data acquisition equipment;
and the first establishing submodule is used for carrying out relevance architecture according to the category of each health data and establishing an initial analysis and prediction model.
On the basis of the foregoing embodiment, in a specific embodiment, the establishing module 200 may include:
and the second establishing submodule is used for carrying out data mining on the health data to obtain the incidence relation between the human health state and the health information, and establishing a comprehensive analysis and prediction training set according to the incidence relation.
On the basis of the foregoing embodiments, in a specific embodiment, the obtaining module 100 may include:
the acquisition submodule is used for acquiring the health data in the health data acquisition equipment through a preset communication protocol;
the analysis and prediction module 400 may correspondingly include:
the output submodule is used for acquiring and outputting the obtained analysis and prediction results to the health data acquisition equipment through a preset communication protocol;
the preset communication protocol comprises at least one of a Wi-Fi protocol, a Bluetooth protocol, a near field communication protocol, a 4G protocol and a 5G protocol.
On the basis of the above embodiment, in a specific embodiment, the system may further include:
and the output module is used for outputting a corresponding prevention health-care scheme according to the analysis and prediction result, wherein the prevention health-care scheme comprises at least one of a personal body type control scheme, a core biochemical index improvement scheme, a personal diet scheme and a sport scheme.
Since the embodiment of the system part corresponds to the embodiment of the method part, the embodiment of the system part is described with reference to the embodiment of the method part, and is not repeated here.
Referring to fig. 3, fig. 3 is a block diagram of an apparatus for analyzing and predicting health status based on health information according to an embodiment of the present disclosure.
The device 500 for analyzing and predicting health conditions based on health information may have relatively large differences due to different configurations or performances, and may include one or more processors (CPUs) 522 (e.g., one or more processors) and a memory 532, one or more storage media 530 (e.g., one or more mass storage devices) storing applications 542 or data 544. Memory 532 and storage media 530 may be, among other things, transient storage or persistent storage. The program stored on the storage medium 530 may include one or more modules (not shown), each of which may include a sequence of instruction operations for the device. Further, the processor 522 may be configured to communicate with the storage medium 530 and execute a series of instruction operations in the storage medium 530 on the health information based analysis and prediction device 500 for health status.
The health information based analysis and prediction device 500 may also include one or more power supplies 525, one or more wired or wireless network interfaces 550, one or more input-output interfaces 558, and/or one or more operating systems 541, such as Windows Server, Mac OS XTM, UnixTM, LinuxTM, FreeBSDTM, etc.
The steps of the method for analyzing and predicting the health condition based on the health information described in fig. 1 are implemented by the apparatus for analyzing and predicting the health condition based on the health information based on the structure shown in fig. 3.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the system, the apparatus and the module described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus, device and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, a division of modules is merely a division of logical functions, and an actual implementation may have another division, for example, a plurality of modules or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or modules, and may be in an electrical, mechanical or other form.
Modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical modules, may be located in one place, or may be distributed on a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
In addition, functional modules in the embodiments of the present application may be integrated into one processing module, or each of the modules may exist alone physically, or two or more modules are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode.
The integrated module, if implemented in the form of a software functional module and sold or used as a separate product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a function calling device, or a network device) to execute all or part of the steps of the method of the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
A method, system, device and readable storage medium for analyzing and predicting health status based on health information provided by the present application are described in detail above. The principles and embodiments of the present application are explained herein using specific examples, which are provided only to help understand the method and the core idea of the present application. It should be noted that, for those skilled in the art, it is possible to make several improvements and modifications to the present application without departing from the principle of the present application, and such improvements and modifications also fall within the scope of the claims of the present application.
It is further noted that, in the present specification, relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
Claims (10)
1. A method for analyzing and predicting health conditions based on health information, comprising:
acquiring health data through health data acquisition equipment, wherein the health data comprises at least one item of health information, human body characteristic data and behavior data;
carrying out data aggregation and standardization on the health data to form a structured database and an unstructured database, carrying out statistical analysis and data mining, and establishing an initial analysis and prediction model and a comprehensive analysis and prediction training set;
training the initial analysis and prediction model by using the comprehensive analysis and prediction training set to obtain a comprehensive analysis and prediction model;
and analyzing and predicting the input health information by using the comprehensive analysis and prediction model, and outputting the obtained analysis and prediction result.
2. The method of claim 1, wherein the health data is subjected to data aggregation and normalization to form structured and unstructured databases, and statistical analysis and data mining to establish an initial analysis and prediction model and a comprehensive analysis and prediction training set, comprising:
carrying out data aggregation and standardization on the health data to form a structured database and an unstructured database;
classifying the health data in the structured and unstructured databases according to the type of the health data acquisition device;
and performing relevance architecture according to the category of each health data to establish the initial analysis and prediction model.
3. The method of claim 1, wherein the health data is subjected to data aggregation and normalization to form structured and unstructured databases, and statistical analysis and data mining to establish an initial analysis and prediction model and a comprehensive analysis and prediction training set, comprising:
and performing data mining on the health data to obtain an incidence relation between the human health state and the health information, and establishing the comprehensive analysis and prediction training set according to the incidence relation.
4. The method of claim 1, wherein the acquiring health data by a health data acquisition device comprises:
acquiring the health data in the health data acquisition equipment through a preset communication protocol;
the outputting of the obtained analysis and prediction results correspondingly comprises:
acquiring and outputting the obtained analysis and prediction results to the health data acquisition equipment through the preset communication protocol;
the preset communication protocol comprises at least one of Wi-Fi protocol, Bluetooth protocol, near field communication protocol, 4G protocol and 5G protocol.
5. The method of claim 1, further comprising, after outputting the analysis and prediction results,:
and outputting a corresponding preventive health scheme according to the analysis and prediction results, wherein the preventive health scheme comprises at least one of a personal body type control scheme, a core biochemical index improvement scheme, a personal diet scheme and a sports scheme.
6. The method of claim 1, wherein the analysis and prediction results comprise at least one of body type analysis and prediction results, survival and disability rate analysis and prediction results, physiological system health analysis and prediction results, mental health analysis and prediction results, caloric expenditure and intake analysis and prediction results, chronic disease risk analysis and prediction results, severe risk analysis and prediction results, cancer risk analysis and prediction results.
7. The method of claim 1, wherein the health data acquisition device comprises at least one of a wearable health data monitoring device, a smart home product, a home health data monitoring device, a medical sensor.
8. A system for analyzing and predicting health conditions based on health information, comprising:
the health data acquisition device is used for acquiring health data, wherein the health data comprises at least one of health information, human body characteristic data and behavior data;
the establishing module is used for carrying out data aggregation and standardization on the health data to form a structured database and an unstructured database, carrying out statistical analysis and data mining, and establishing an initial analysis and prediction model and a comprehensive analysis and prediction training set;
the training module is used for training the initial analysis and prediction model by utilizing the comprehensive analysis and prediction training set to obtain a comprehensive analysis and prediction model;
and the analysis and prediction module is used for analyzing and predicting the input health information by utilizing the comprehensive analysis and prediction model and outputting the obtained analysis and prediction result.
9. An apparatus for analyzing and predicting a health condition based on health information, comprising:
a memory for storing a computer program;
a processor for implementing the steps of the method for analyzing and predicting a health condition based on health information according to any one of claims 1 to 7 when executing the computer program.
10. A readable storage medium, having stored thereon a computer program which, when being executed by a processor, carries out the steps of the method for analyzing and predicting a health condition based on health information according to any one of claims 1 to 7.
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| CN104537276A (en) * | 2015-01-30 | 2015-04-22 | 北京大众益康科技有限公司 | Physiological parameter monitoring method and physiological parameter monitoring device |
| CN108573752A (en) * | 2018-02-09 | 2018-09-25 | 上海米因医疗器械科技有限公司 | A kind of method and system of the health and fitness information processing based on healthy big data |
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| CN104537276A (en) * | 2015-01-30 | 2015-04-22 | 北京大众益康科技有限公司 | Physiological parameter monitoring method and physiological parameter monitoring device |
| CN108573752A (en) * | 2018-02-09 | 2018-09-25 | 上海米因医疗器械科技有限公司 | A kind of method and system of the health and fitness information processing based on healthy big data |
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