CN105512497A - Method and device for monitoring medical data - Google Patents
Method and device for monitoring medical data Download PDFInfo
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- CN105512497A CN105512497A CN201511025085.XA CN201511025085A CN105512497A CN 105512497 A CN105512497 A CN 105512497A CN 201511025085 A CN201511025085 A CN 201511025085A CN 105512497 A CN105512497 A CN 105512497A
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
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- G06F19/3418—
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
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Abstract
The invention is suitable for the technical field of Internet, and provides a method and a device for monitoring medical data. The method comprises the following steps of receiving physical sign data uploaded by a user; according to a preset health index model and the physical sign data uploaded by the user, analyzing the health condition of the user. The method and the device have the advantage that the accuracy and efficiency of medical services are improved.
Description
Technical field
The invention belongs to Internet technical field, particularly relate to method and the device of the monitoring of a kind of medical data.
Background technology
Accelerate with people's work, rhythm of life along with living standard improves constantly, health becomes the topic that people more and more pay close attention to, and computer technology is also applied in the fields such as medical diagnosis on disease, health check-up and health survey more and more.But, current existing health analysis system is only for the data analysis uploaded for user, the result of its statistical study is often analyzed according to a kind of or a few fixing rule, in addition, the every sign data of human body is also dynamic change, therefore, under the prerequisite not combining the situation such as health account information, personal lifestyle custom in the past, analyze a certain secondary data loses biased isolatedly, is difficult to exactly for user provides health service.
Summary of the invention
A kind of method that the object of the embodiment of the present invention is to provide medical data to monitor and device, be intended to solve the inaccurate problem of existing internet Analysis of Medical Treatment Data.
The embodiment of the present invention is achieved in that a kind of method that medical data is monitored, and described method comprises the steps:
Receive the body sign data that user uploads;
According to the body sign data that the health indicator model preset and described user are uploaded, analyze the health status of described user.
Further, before the body sign data that execution described reception user uploads, also comprise:
Set up multiple health indicator model.
Further, describedly set up multiple health indicator model and specifically comprise:
The existing body sign data of described user are classified;
For each class body sign data arranges corresponding reference value, form the health indicator model that each class body sign data described are corresponding; Described reference value is binary data or shape data.
Further, the health indicator model that described basis is preset and the body sign data that user uploads, the health status analyzing user specifically comprises:
Split the body sign data that described user uploads;
The health indicator model that the body sign Data Matching uploaded according to the user split is corresponding;
According to the body sign data that described user uploads, and the health status of user described in the health indicator mode inference of correspondence.
Further, the body sign data performing the health indicator model preset of described basis and described user and upload, after analyzing the health status of described user, also comprise:
Health status according to the user inferred pushes corresponding health service to user.
The present invention also proposes the device of a kind of medical data monitoring, and described device comprises:
Receiver module, for receiving the body sign data that user uploads;
Analysis module, for the body sign data uploaded according to the health indicator model preset and described user, analyzes the health status of described user.
Further, described device also comprises:
MBM, for setting up multiple health indicator model.
Further, described MBM comprises:
Taxon, for classifying to the existing body sign data of described user;
Setting unit, for arranging corresponding reference value for each class body sign data, forms the health indicator model that each class body sign data described are corresponding; Described reference value is binary data or shape data.
Further, described analysis module comprises:
Split cells, for splitting the body sign data that described user uploads;
Matching unit, the health indicator model that the body sign Data Matching for uploading according to the user split is corresponding;
Infer unit, for the body sign data uploaded according to described user, and the health status of user described in the health indicator mode inference of correspondence.
Further, described device also comprises:
Service module, pushes corresponding health service for the health status according to the user inferred to user.
The embodiment of the present invention, according to the body sign data of user's history, sets up corresponding health indicator model, then in conjunction with the body sign data that user uploads, precisely judges the health status that user is current rapidly, improves accuracy and the efficiency of service of service.
Accompanying drawing explanation
Fig. 1 is the process flow diagram of the method for the medical data monitoring that the embodiment of the present invention one provides;
Fig. 2 is the process flow diagram of modeling procedure in the method for the medical data monitoring that the embodiment of the present invention one provides;
Fig. 3 is the process flow diagram of analytical procedure in the method for the medical data monitoring that the embodiment of the present invention one provides;
Fig. 4 is the structural drawing of the device of the medical data monitoring that the embodiment of the present invention two provides;
Fig. 5 is the structural drawing of MBM in the device of the medical data monitoring that the embodiment of the present invention two provides;
Fig. 6 is the structural drawing of analysis module in the device of the medical data monitoring that the embodiment of the present invention two provides.
Embodiment
In order to make object of the present invention, technical scheme and advantage clearly understand, below in conjunction with drawings and Examples, the present invention is further elaborated.Should be appreciated that specific embodiment described herein only in order to explain the present invention, be not intended to limit the present invention.
embodiment one
The embodiment of the present invention one proposes the method for a kind of medical data monitoring.As shown in Figure 1, the method for the embodiment of the present invention one comprises the steps:
S1, set up multiple health indicator model.As shown in Figure 2, step S1 comprises step:
S11, the existing body sign data of user to be classified.The existing body sign data of user comprise the essential information, history health check-up data etc. of user, essential information is as the sex of user, age, family's Genetic history, medical history, allergic drug and malaise symptoms etc. in the recent period, and history health check-up data are included in the detection data of each section office as internal medicine, surgery, ophthalmology, oral cavity etc.Above-mentioned data are classified, as sign, blood pressure, heart rate, blood fat etc. are sorted out respectively according to the standard preset.
S12, for each class body sign data arranges corresponding reference value, form the health indicator model that each class body sign data is corresponding; Described reference value is binary data or shape data.Health indicator model can be the expression formula comprising each class body sign data and reference value, reference value is arranged respectively according to different classes of body sign data, as for body temperature, three reference values can be set: 37 DEG C, 38 DEG C, 39 DEG C, and expression formula is set: as body temperature A≤37 DEG C, then normally, as body temperature 37 DEG C≤A≤38 DEG C, then belong to moderate heating, as body temperature 38 DEG C≤A≤39 DEG C, then belong to high heat.The reference value set converts binary data or shape data to, can greatly reduce quantity transmission quantity, and improve the data precision.
The body sign data that S2, reception user upload.After setting up each health indicator model, the body sign data uploaded by internet reception user.
S3, the body sign data uploaded according to the health indicator model preset and user, analyze the health status of user.As shown in Figure 3, step S3 comprises step:
The body sign data that S31, fractionation user upload.The body sign data that user uploads may comprise body temperature, blood pressure, heart rate etc., are first sorted out by above-mentioned Data Division.
The health indicator model that the body sign Data Matching that the user that S32, basis have split uploads is corresponding.By high efficiency lookup algorithm as dichotomy, by health indicator models all for the body sign Data Matching that split, obtain the common factor with health indicator model.
S33, the body sign data uploaded according to user, and the health status of the health indicator mode inference user of correspondence.
The health status of the user that S4, basis have been inferred pushes corresponding health service to user.
The body sign data split may exist with multiple health indicator model occurs simultaneously, and therefore, can infer the health status of user accordingly, and provides corresponding suggestion or guidance to push to user.
The embodiment of the present invention one is according to the body sign data of user's history, set up corresponding health indicator model, again in conjunction with the body sign data that user uploads, precisely judge the health status that user is current rapidly, improve accuracy and the efficiency of service of service.
embodiment two
The embodiment of the present invention two proposes the device of a kind of medical data monitoring, and this device can be mobile terminal or server, also can be the built-in or external device of mobile terminal, server.As shown in Figure 4, the device of the embodiment of the present invention two comprises:
MBM 10, for setting up multiple health indicator model;
Receiver module 20, for receiving the body sign data that user uploads;
Analysis module 30, for the body sign data uploaded according to the health indicator model preset and described user, analyzes the health status of described user;
Service module 40, pushes corresponding health service for the health status according to the user inferred to user.
As shown in Figure 5, MBM 10 comprises:
Taxon 11, for classifying to the existing body sign data of user;
Setting unit 12, for arranging corresponding reference value for each class body sign data, forms the health indicator model that each class body sign data is corresponding; Described reference value is binary data or shape data.
As shown in Figure 6, analysis module 30 comprises:
Split cells 31, for splitting the body sign data that user uploads;
Matching unit 32, the health indicator model that the body sign Data Matching for uploading according to the user split is corresponding;
Infer unit 33, for the body sign data uploaded according to user, and the health status of the health indicator mode inference user of correspondence.
The device principle of work of the embodiment of the present invention two is as follows:
MBM 10 sets up multiple health indicator model.First taxon 11 classifies to the existing body sign data of user.The existing body sign data of user comprise the essential information, history health check-up data etc. of user, essential information is as the sex of user, age, family's Genetic history, medical history, allergic drug and malaise symptoms etc. in the recent period, and history health check-up data are included in the detection data of each section office as internal medicine, surgery, ophthalmology, oral cavity etc.Above-mentioned data are classified, as sign, blood pressure, heart rate, blood fat etc. are sorted out respectively according to the standard preset.Setting unit 12 arranges corresponding reference value for each class body sign data again, forms the health indicator model that each class body sign data is corresponding; Described reference value is binary data or shape data.Health indicator model can be the expression formula comprising each class body sign data and reference value, reference value is arranged respectively according to different classes of body sign data, as for body temperature, three reference values can be set: 37 DEG C, 38 DEG C, 39 DEG C, and expression formula is set: as body temperature A≤37 DEG C, then normally, as body temperature 37 DEG C≤A≤38 DEG C, then belong to moderate heating, as body temperature 38 DEG C≤A≤39 DEG C, then belong to high heat.The reference value set converts binary data or shape data to, can greatly reduce quantity transmission quantity, and improve the data precision.
After setting up each health indicator model, the body sign data that analysis module 30 is uploaded by internet reception user, and according to the body sign data that the health indicator model preset and user are uploaded, analyze the health status of user.Particularly, as shown in Figure 3, split cells 31 splits the body sign data that user uploads.The body sign data that user uploads may comprise body temperature, blood pressure, heart rate etc., are sorted out by above-mentioned Data Division.The health indicator model that matching unit 32 is corresponding according to the body sign Data Matching that the user split uploads.By high efficiency lookup algorithm as dichotomy, by health indicator models all for the body sign Data Matching that split, obtain the common factor with health indicator model.Infer that unit 33 is again according to the body sign data that user uploads, and the health status of the health indicator mode inference user of correspondence.
Service module 40 pushes corresponding health service according to the health status of the user inferred to user.The body sign data split may exist with multiple health indicator model occurs simultaneously, and therefore, can infer the health status of user accordingly, and provides corresponding suggestion or guidance to push to user.
The embodiment of the present invention two is according to the body sign data of user's history, set up corresponding health indicator model, again in conjunction with the body sign data that user uploads, precisely judge the health status that user is current rapidly, improve accuracy and the efficiency of service of service.
The foregoing is only preferred embodiment of the present invention, not in order to limit the present invention, all any amendments done within the spirit and principles in the present invention, equivalent replacement and improvement etc., all should be included within protection scope of the present invention.
Claims (10)
1. a method for medical data monitoring, it is characterized in that, described method comprises the steps:
Receive the body sign data that user uploads;
According to the body sign data that the health indicator model preset and described user are uploaded, analyze the health status of described user.
2. the method for claim 1, is characterized in that, before the body sign data that execution described reception user uploads, also comprises:
Set up multiple health indicator model.
3. method as claimed in claim 2, is characterized in that, describedly sets up multiple health indicator model and specifically comprises:
The existing body sign data of described user are classified;
For each class body sign data arranges corresponding reference value, form the health indicator model that each class body sign data described are corresponding; Described reference value is binary data or shape data.
4. method as claimed in claim 3, is characterized in that, the health indicator model that described basis is preset and the body sign data that user uploads, and the health status analyzing user specifically comprises:
Split the body sign data that described user uploads;
The health indicator model that the body sign Data Matching uploaded according to the user split is corresponding;
According to the body sign data that described user uploads, and the health status of user described in the health indicator mode inference of correspondence.
5. the method according to any one of Claims 1-4, is characterized in that, the body sign data performing the health indicator model preset of described basis and described user and upload, after analyzing the health status of described user, also comprise:
Health status according to the user inferred pushes corresponding health service to user.
6. a device for medical data monitoring, it is characterized in that, described device comprises:
Receiver module, for receiving the body sign data that user uploads;
Analysis module, for the body sign data uploaded according to the health indicator model preset and described user, analyzes the health status of described user.
7. device as claimed in claim 6, it is characterized in that, described device also comprises:
MBM, for setting up multiple health indicator model.
8. device as claimed in claim 7, it is characterized in that, described MBM comprises:
Taxon, for classifying to the existing body sign data of described user;
Setting unit, for arranging corresponding reference value for each class body sign data, forms the health indicator model that each class body sign data described are corresponding; Described reference value is binary data or shape data.
9. device as claimed in claim 8, it is characterized in that, described analysis module comprises:
Split cells, for splitting the body sign data that described user uploads;
Matching unit, the health indicator model that the body sign Data Matching for uploading according to the user split is corresponding;
Infer unit, for the body sign data uploaded according to described user, and the health status of user described in the health indicator mode inference of correspondence.
10. the device as described in any one of claim 6 to 9, is characterized in that, described device also comprises:
Service module, pushes corresponding health service for the health status according to the user inferred to user.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201511025085.XA CN105512497A (en) | 2015-12-29 | 2015-12-29 | Method and device for monitoring medical data |
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| CN201511025085.XA CN105512497A (en) | 2015-12-29 | 2015-12-29 | Method and device for monitoring medical data |
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN106407643A (en) * | 2016-08-03 | 2017-02-15 | 无锡金世纪国民体质与健康研究有限公司 | Method for establishing health risk assessment system |
| CN106446581A (en) * | 2016-10-18 | 2017-02-22 | 江西博瑞彤芸科技有限公司 | Sign data analysis method |
| WO2017113134A1 (en) * | 2015-12-29 | 2017-07-06 | 深圳市鼎芯无限科技有限公司 | Medical data monitoring method and device |
| CN107436997A (en) * | 2017-07-03 | 2017-12-05 | 上海百纬健康科技有限公司 | The analysis system and method for a kind of physiological data |
| CN107658001A (en) * | 2017-10-10 | 2018-02-02 | 丁木(北京)技术有限公司 | A kind of home-use oily health control method and system |
| CN109003674A (en) * | 2017-06-06 | 2018-12-14 | 深圳大森智能科技有限公司 | A kind of health control method and system |
| CN111180066A (en) * | 2019-11-18 | 2020-05-19 | 泰康保险集团股份有限公司 | Health assessment method and device based on visit data |
| CN114023452A (en) * | 2021-11-10 | 2022-02-08 | 中国科学院心理研究所 | Multi-dimensional early warning model construction method for screening high risk of cognitive impairment and evaluation system thereof |
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| WO2017113134A1 (en) * | 2015-12-29 | 2017-07-06 | 深圳市鼎芯无限科技有限公司 | Medical data monitoring method and device |
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Application publication date: 20160420 |