CN106845110A - One kind doctor supports information big data analysis method and management system - Google Patents
One kind doctor supports information big data analysis method and management system Download PDFInfo
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- CN106845110A CN106845110A CN201710043000.3A CN201710043000A CN106845110A CN 106845110 A CN106845110 A CN 106845110A CN 201710043000 A CN201710043000 A CN 201710043000A CN 106845110 A CN106845110 A CN 106845110A
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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
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
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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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- 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
- G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
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Abstract
The present invention discloses one kind doctor and supports information big data analysis method and management system, the vital sign data of old man is gathered by life sign measurement instrument, and vital sign data is transmitted into the foster Platform Server of doctor；Big data analysis is carried out in doctor supports Platform Server, the vital sign data that will be gathered is sorted out and stored.The present invention can be excavated and predict the trend and trend of the value of aged health data, service provider and business datum；Data acquisition is carried out by technology of Internet of things, operational difficulties of the medical personnel in gathered data are alleviated, doctor is improve and is supported efficiency.
Description
Technical field
The invention belongs to intelligent management system technical field, more particularly to a kind of doctor support information big data analysis method and
Management system.
Background technology
Used the existing analysis that data are supported for doctor more and predict that whole world elderly population will reach in 2035 according to associated mechanisms
To 20.2 hundred million, wherein Aged in China population is up to 4.8 hundred million, almost accounts for a quarter of global elderly population, is old in the world
Year most populous country.Between 2014 to 2035, the consumption potentiality of Aged in China population will rise to from 4 trillion yuans or so
106 trillion yuans or so, the ratio for accounting for GDP will rise to 33% or so from 8% or so.China will be as global old-age group industrial market
Country with the largest potentiality.
Traditional small-scale data analysing method carries out Data Management Analysis；This analysis method efficiency is low, analysis result
The degree of accuracy bottom and analysis to medical data has certain risk；The result accuracy of forecast analysis is low；Cannot excavate and pre-
Measure the trend and trend of value, service provider and the business datum of aged health data.
The content of the invention
In order to solve the above problems, the present invention proposes a kind of doctor and supports information big data analysis method and management system, energy
The trend and trend of enough value, service provider and business datums excavated and predict aged health data；By technology of Internet of things
Data acquisition is carried out, operational difficulties of the medical personnel in gathered data are alleviated, doctor is improve and is supported efficiency；Efficiency high and precision
It is high.
To reach above-mentioned purpose, the doctor that the present invention is used supports information big data analysis method is, by life sign measurement
Instrument gathers the vital sign data of old man, and vital sign data is transmitted into the foster Platform Server of doctor；Platform clothes are supported in doctor
Big data analysis is carried out in business device, the vital sign data that will be gathered after analysis carries out sorting out push and storage；
The big data analysis method, including step：
S01, the file data combination vital sign data of collection and doctor supported in Platform Server database is built
Mould, obtains data model；Data in data model are carried out into data parsing according to big data mining analysis and prediction algorithm, and
Data after parsing are carried out into data cleansing；
Data after being processed in step S01 are carried out business diagnosis by S02, obtain business datum；
S03, corresponding user terminal is pushed to by business datum by Internet of Things.
It is further, in step S01, by Expert Rules engine collection theory basic data, for data cleansing is provided
Foundation, supports the realization of data modeling；The classification of big data is carried out by SVM algorithm, big data excavation is carried out to data model
Analysis, obtains parsing data；Using the data in the column storage Infobri ght batch execution data models of MySQL, analysis
Predict the value of data；
Various data forms in multiple sources are mainly parsed into satisfactory data form and specification by data parsing
Data demand；
Expert Rules engine, data modeling and SVM algorithm provide the support of basic technology framework and the business of whole big data
Realize support；The data model that only Expert Rules engine coordinates, with reference to SVM algorithm, using computer and big data treatment energy
Power, analyzes satisfactory business datum, for the analysis of specific business.
It is further that the data cleansing includes step：Data prediction；Removal or completion have the data of missing；Go
Except the vicious data of content；Remove the data of logic error；Remove unwanted data；Carry out data correlation checking；Make
Data are more accurate, accelerate computational efficiency.
It is further that in step S02, the business diagnosis includes regional analysis, trend analysis and ontoanalysis；Business
Data include aged health situation, trend data and the prediction data of different zones.
It is further, the regional analysis that big data modeling point will be carried out to the old man in each geographical coverage area
Analysis, divides the aged health situation of different zones；
The trend analysis, the vital sign data to old man passes through big data modeling analysis, obtains the hair of old man's state of an illness
The trend data of the sound development trend that exhibition trend or certain health indicator are presented in the age bracket of old man；
The ontoanalysis, big data modeling analysis are used by the vital sign data of old man, and old man is obtained so as to predict
The prediction data of the health status within certain time from now on.
It is further, step S03 that business datum is pushed to corresponding user terminal, the user terminal includes that doctor supports clothes
Business business terminal, consumer end and doctor support vendor terminal.
On the other hand, information big data management system is supported present invention also offers one kind doctor, is arranged on doctor and supports platform service
In device, including data acquisition module, data resolution module, business diagnosis module and pushing module；
The data acquisition module, the vital sign number that life sign measurement instrument gathers old man is received by data acquisition module
According to；
The data resolution module, the vital sign data of collection is modeled, and carries out data parsing, and will parsing
Data afterwards carry out data cleansing；
Data are carried out business diagnosis by business diagnosis module, obtain business datum；
Pushing module, corresponding user terminal is pushed to by business datum by Internet of Things.
It is further that the user terminal includes that Yi Yang service providers terminal, consumer end and doctor support vendor terminal.
Using the beneficial effect of the technical program：
Can excavate and predict the trend and trend of value, service provider and the business datum of aged health data；Pass through
Technology of Internet of things carries out data acquisition, alleviates operational difficulties of the medical personnel in gathered data, improves doctor and supports efficiency；
The value that doctor supports data can be accurately analyzed, prediction aged health data are very helpful；Simultaneously
Also business datum, service quotient data and consumer behaviour data can be analyzed, and reliable solution is provided.
Aged health file data is analyzed, by the standardization to aged health file data, big data is then carried out
Analysis, endowment operator provides different demand analyses can to government, service provider etc.；Analysis to business datum, by big
Data enter the business diagnosis of foster platform of practising medicine, so as to provide the aged health demand in the range of different zones；To service quotient data
Analysis, analysis is predicted by the data separate big data prediction algorithm of the offer to service provider, analysis obtains service provider
The height of the valid data in doctor supports project, understands the service level and trend of service provider；Data to consumer behaviour are entered
Row analysis, the various consumer behaviors of consumer are analyzed by big data, and consumer behaviour is predicted using big data prediction algorithm
Track, endowment structure targetedly can be adjusted to integral product, and tending to, being classified as consumer behaviour is primary.
Brief description of the drawings
Fig. 1 is a kind of schematic flow sheet for curing the information of supporting big data analysis method of the invention；
Fig. 2 is the flow chart of data cleansing in the embodiment of the present invention；
Fig. 3 is the flow chart of business diagnosis in the embodiment of the present invention；
Fig. 4 is a kind of structural representation for curing the information of supporting big data management system in the embodiment of the present invention.
Specific embodiment
In order that the object, technical solutions and advantages of the present invention are clearer, the present invention is made into one below in conjunction with the accompanying drawings
Step is illustrated.
Shown in Figure 1 in embodiment one, the present invention proposes a kind of doctor and supports information big data analysis method, passes through
Life sign measurement instrument gathers the vital sign data of old man, and vital sign data is transmitted into the foster Platform Server of doctor；
Big data analysis is carried out in doctor supports Platform Server, the vital sign data that will be gathered after analysis carries out sorting out push and storage
Deposit.
Wherein, the big data analysis method, including step S01-S03.
S01, the file data combination vital sign data of collection and doctor supported in Platform Server database is built
Mould, obtains data model；Data in data model are carried out into data parsing according to big data mining analysis and prediction algorithm, and
Data after parsing are carried out into data cleansing.
By Expert Rules engine collection theory basic data, for data cleansing provides foundation, the reality of data modeling is supported
It is existing；The classification of big data is carried out by SVM algorithm, big data mining analysis are carried out to data model, obtain parsing data；Using
Data in the column storage Infobri ght batch execution data models of MySQL, analysis predicts the value of data；
Various data forms in multiple sources are mainly parsed into satisfactory data form and specification by data parsing
Data demand；
Expert Rules engine, data modeling and SVM algorithm provide the support of basic technology framework and the business of whole big data
Realize support；The data model that only Expert Rules engine coordinates, with reference to SVM algorithm, using computer and big data treatment energy
Power, analyzes satisfactory business datum, for the analysis of specific business.
As shown in Fig. 2 the data cleansing includes step：
Data prediction：Check metadata, including field explanation, data source, code table etc. all data are described
Information；Take Sampling Modes to extract a part of data, using manually mode is checked, there is one to get information about in itself to data,
And some problems are tentatively found, the treatment after being is prepared；
Removal or completion have the data of missing：The scope of missing is determined to each data field, crucial data word is lacked
The data of section are directly given up, and non-key data are filled perfect, remove unwanted field information；
The removal vicious data of content：The vicious data of data content are given up, it is ensured that the correctness of data；
Remove the data of logic error：The data of logic error are given up according to business rule, it is ensured that data are just
True property；
Remove unwanted data：The unrelated data of business are given up according to business rule, it is ensured that the correlation of data
Property；
Carry out data correlation checking：Because data have multiple data sources, to the being associated property of data of each fulcrum
Checking.Such as：Although there is the healthy life sign data of collection, case of not filed to the old man, then the gathered data do not close
Connection property, is directly given up.
Data after being processed in step S01 are carried out business diagnosis by S02, obtain business datum.
In step S02, as shown in figure 3, the business diagnosis includes regional analysis, trend analysis and ontoanalysis；Business
Data include aged health situation, trend data and the prediction data of different zones.
The regional analysis, will carry out big data modeling analysis to the old man in each geographical coverage area, divide different
The aged health situation in region；
The trend analysis, the vital sign data to old man passes through big data modeling analysis, obtains the hair of old man's state of an illness
The trend data of the sound development trend that exhibition trend or certain health indicator are presented in the age bracket of old man；
Specially：By the health account and gathered data of all of old man in collecting platform, set up by modeling tool
Model, such as set up the scale model of Hypertension incidence old man in nearest 5 to 10 years；Backstage big data is calculated,
All of old man's data can be carried out classification and matching, dimension that can be monthly shows the figure of every month, by linear schedule,
The ups and downs columnar alignment of linear graph can intuitively be seen；Analyze and increase or subtract obtaining the senile hypertension incidence of disease
The trend figure for having lacked, the development trend of recent years that intuitively can show hypertension very in elderly population.
The ontoanalysis, big data modeling analysis are used by the vital sign data of old man, and old man is obtained so as to predict
The prediction data of the health status within certain time from now on；
Specifically, by the health account and gathered data recent years of single old man in collecting platform, according to data
Variation tendency matching expert knowledge library, can predict that the old man obtains certain sick probability size；Such as, an old man is collected
Health account and gathered data in 1 to 3 years, the blood glucose target according to the backstage trend graph discovery old man increase constantly slow
It is long, then predict that the old man had obtained the sign of diabetes.
S03, corresponding user terminal is pushed to by business datum by Internet of Things.
Business datum is pushed to corresponding user terminal, the user terminal includes Yi Yang service providers terminal, consumer end
Vendor terminal is supported with doctor.
To coordinate the realization of the inventive method, based on identical inventive concept, as shown in figure 4, present invention also offers one
Plant doctor and support information big data management system, be arranged in the foster Platform Server of doctor, including data acquisition module, data parse mould
Block, business diagnosis module and pushing module；
The data acquisition module, the vital sign number that life sign measurement instrument gathers old man is received by data acquisition module
According to；
The data resolution module, the vital sign data of collection is modeled, and carries out data parsing, and will parsing
Data afterwards carry out data cleansing；
Data are carried out business diagnosis by business diagnosis module, obtain business datum；
Pushing module, corresponding user terminal is pushed to by business datum by Internet of Things.
Wherein, the user terminal includes that Yi Yang service providers terminal, consumer end and doctor support vendor terminal.
General principle of the invention and principal character and advantages of the present invention has been shown and described above.The technology of the industry
Personnel it should be appreciated that the present invention is not limited to the above embodiments, simply explanation described in above-described embodiment and specification this
The principle of invention, without departing from the spirit and scope of the present invention, various changes and modifications of the present invention are possible, these changes
Change and improvement all fall within the protetion scope of the claimed invention.The claimed scope of the invention by appending claims and its
Equivalent thereof.
Claims (8)
1. a kind of doctor supports information big data analysis method, it is characterised in that the life of old man is gathered by life sign measurement instrument
Sign data, and vital sign data is transmitted into the foster Platform Server of doctor；Big data is carried out in doctor supports Platform Server
Analysis, the vital sign data that will be gathered after analysis carries out sorting out push and storage；
The big data analysis method, including step：
S01, the file data combination vital sign data of collection and doctor supported in Platform Server database is modeled, and obtains
To data model；Data in data model are carried out into data parsing according to big data mining analysis and prediction algorithm, and will solution
Data after analysis carry out data cleansing；
Data after being processed in step S01 are carried out business diagnosis by S02, obtain business datum；
S03, corresponding user terminal is pushed to by business datum by Internet of Things.
2. a kind of doctor according to claim 1 supports information big data analysis method, it is characterised in that in step S01, pass through
Expert Rules engine collection theory basic data, for data cleansing provides foundation, supports the realization of data modeling；Calculated by SVM
Method carries out the classification of big data, and big data mining analysis are carried out to data model, obtains parsing data；Using the column of MySQL
Data in storage Infobright batch execution data models, analysis predicts the value of data.
3. a kind of doctor according to claim 2 supports information big data analysis method, it is characterised in that the data cleansing bag
Include step：Data prediction；Removal or completion have the data of missing；The removal vicious data of content；Removal logic error
Data；Remove unwanted data；Carry out data correlation checking.
4. a kind of doctor according to claim 1 supports information big data analysis method, it is characterised in that described in step S02
Business diagnosis includes regional analysis, trend analysis and ontoanalysis；Business datum includes the aged health situation of different zones, becomes
Gesture data and prediction data.
5. a kind of doctor according to claim 4 supports information big data analysis method, it is characterised in that
The regional analysis, big data modeling analysis are carried out to the old man in each geographical coverage area, divide different zones
Aged health situation；
The trend analysis, the vital sign data to old man passes through big data modeling analysis, and the development for obtaining old man's state of an illness becomes
The trend data of the sound development trend that gesture or certain health indicator are presented in the age bracket of old man；
The ontoanalysis, big data modeling analysis are used by the vital sign data of old man, and old man is obtained in the present so as to predict
The prediction data of the health status in certain time afterwards.
6. a kind of doctor according to claim 1 supports information big data analysis method, it is characterised in that step S03, by business
Data-pushing includes Yi Yang service providers terminal, consumer end and Yi Yang suppliers end to corresponding user terminal, the user terminal
End.
7. a kind of doctor supports information big data management system, it is characterised in that be arranged in the foster Platform Server of doctor, including data are adopted
Collection module, data resolution module, business diagnosis module and pushing module；
The data acquisition module, the vital sign data that life sign measurement instrument gathers old man is received by data acquisition module；
The data resolution module, the vital sign data of collection is modeled, and carries out data parsing, and by after parsing
Data carry out data cleansing；
Data are carried out business diagnosis by business diagnosis module, obtain business datum；
Pushing module, corresponding user terminal is pushed to by business datum by Internet of Things.
8. a kind of doctor according to claim 7 supports information big data management system, it is characterised in that the user terminal includes
Yi Yang service providers terminal, consumer end and doctor support vendor terminal.
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Cited By (4)
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| CN108257648A (en) * | 2018-02-08 | 2018-07-06 | 杭州医云康网络科技有限公司 | A kind of medical treatment ＆ health data management system based on big data |
| WO2022068858A1 (en) * | 2020-09-30 | 2022-04-07 | 北京优理医疗器械有限公司 | Apparatuses and methods for acquiring, managing and displaying physiological data |
| CN114638524A (en) * | 2022-03-28 | 2022-06-17 | 哈尔滨商业大学 | Intelligent endowment integrated service center information statistical method |
| CN116965785A (en) * | 2023-08-28 | 2023-10-31 | 首都医科大学附属北京世纪坛医院 | Vital sign monitoring and analyzing method, system, terminal and storage medium |
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