CN104699985A - Medical big-data acquisition and analysis system and method - Google Patents
Medical big-data acquisition and analysis system and method Download PDFInfo
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Abstract
The invention relates to a medical big-data acquisition and analysis system and method. The medical big-data acquisition and analysis method includes: installing a data acquisition unit at the place where medical data are acquired, and uploading the acquired data to an online medical acquisition platform; subjecting to the stored data to data processing; finding out a rule in the data; applying the data subjected to analysis to medical fields to carry out clinical decision and disease warning and analyze behaviors of patients. The medical big-data acquisition and analysis system comprises the online acquisition platform, an HDFS (hadoop distributed file system), an Hbase and a Hadoop frame, and is divided into four layers, namely a foundation layer, a platform layer, a function layer and a service layer. Staff health conditions can be acquired in real time, massive medical data are stored in a distributed manner, the massive data are analyzed rapidly by batch processing of big data, the clinical decision and disease warning are carried out, the behaviors of the patients are analyzed, multiple treatment schemes are put forward clinically, and early warnings are made for outbreaks of epidemic diseases.
Description
Technical field
The invention belongs to medical data collecting technical field, particularly relate to the large data acquisition and analysis system of a kind of medical treatment and method.
Background technology
At present, the medical system of present stage is essential information and the disease event of hospital internal record patient mostly, mostly relate to register, queue up, outpatient clinic appointment, Fare Collection System etc., even if there is patient's Information Collection System, the information of collecting is few, and does not collect targetedly.Due in hospital, the data of collection are all patient substantially, do not gather the health status of Healthy People, can not bring and analyze, can not as the analyzing samples of disease control early warning.
Present stage, Analysis of Medical Treatment Data system can not process the medical data of magnanimity, can only for a small amount of data analysis, and the result obtained does not have universality, accuracy.And analysis speed is slow, easily makes mistakes.
In recent years, along with medical treatment and the sharply dilatation of health data and the growth of geometry level, how to make full use of the various data comprising image data, medical record data, inspection check result, cost of medical service etc., based on cloud computing technology, build the rationally advanced large data collection and analysis platform of data, there is provided service for extensive patients, medical worker, scientific research personnel and government decision person and assist, the important directions of Future Information work will be become.
Summary of the invention
The present invention is the medical data that solution present stage Analysis of Medical Treatment Data system can not process magnanimity, can only for a small amount of data analysis, the result obtained does not have universality, accuracy, and analysis speed is slow, the technical matters that exists of easily makeing mistakes and a kind of structure large data acquisition and analysis system of medical treatment that is simple, easy to install, that increase work efficiency and method are provided.
The technical scheme that the present invention takes for the technical matters existed in solution known technology is:
The large data acquisition analysis method of medical treatment of the present invention, the large data acquisition analysis method of this medical treatment at the local installation data collector gathering medical data, and by the data upload that gathers to online medical acquisition platform; By the data gathered and upload, be stored into the Hbase database based on distributed file system, according to the principle that acquisition target is corresponding with data, and to checking stored in database advance row format;
By stored in data application large data processing tools Hive, Pig carry out data processing, write the MapReduce program with respective algorithms for different demands, pre-service carried out to data, pretreated data are deposited into database;
By the method for pretreated data application statistical study, machine learning, find out the rule in data, analyze the potential value of data;
By the data application after analyzing on medical field, make the behavior of clinical decision, Disease Warning Mechanism and analysis patient, propose multiple therapeutic scheme clinically, pop illness outbreak makes early warning.
Another object of the present invention is to provide a kind of medical treatment large data acquisition and analysis system, the large data acquisition and analysis system of this medical treatment comprises: online medical acquisition platform, HDFS distributed file system, Hbase database, Hadoop framework;
Online medical acquisition platform, for receiving the health data uploaded;
HDFS distributed file system, is connected with online medical acquisition platform, for building distributed file system, for the database built based on this file system is prepared;
Hbase database, is connected with HDFS distributed file system, for storing the medical data accepting to upload.
Hadoop framework, with Hbase DataBase combining, for performing MapReduce program, the analysis medical data of batch processing, for application layer provides Data support;
Further, the large data acquisition and analysis system of this medical treatment comprises operation layer, functional layer, podium level, basal layer;
Basal layer, the server being installed Centos system by multiple stage forms, for podium level provides basic environment;
Podium level, is made up of, for functional layer provides basis of software large Data Analysis Services framework;
Functional layer, machine learning, runs MapReduce program, analyzes data, for operation layer provides Data support;
Operation layer, is made up of data collection station and market demand, data acquisition and the application to Analysis of Medical Treatment Data.
The advantage that the present invention has and good effect are: due to the health status of Real-time Collection personnel of the present invention, distributed storage can store the medical data of magnanimity, large batch process can be very fast analysis mass data, make the behavior of clinical decision, Disease Warning Mechanism and analysis patient, multiple therapeutic scheme can be proposed clinically, also can make early warning by pop illness outbreak.
Compared with prior art, the present invention has following beneficial effect:
(1) mass memory of medical data is achieved;
The present invention adopts HDFS distributed file system, and being stored in integrally of collection multiple computers, is easy to expansion, this file system builds non-relational database HBase, can realize, by the medical data storage of magnanimity, being convenient to analysis below.
(2) data express-analysis is achieved;
In order to improve the ability of Data Analysis Services, adopt the distributed parallel programming framework of increasing income of MapReduce computation module, data processing task is assigned to process on cluster multiple stage machine and can regulate processing speed by dynamic additions and deletions node, to meet different requirements.
(3) information Quick Acquisition is achieved
An online medical acquisition platform based on Node.js is built on foreground of the present invention, and people upload the health condition of oneself by this platform, can certainly connect some modules, such as blood pressure instrument, heart rate monitor etc., by the data upload of survey to platform.
Accompanying drawing explanation
Fig. 1 is the large data acquisition and analysis system structural representation of medical treatment that the embodiment of the present invention provides;
Fig. 2 is another structural representation of the large data acquisition and analysis system of medical treatment that the embodiment of the present invention provides;
In figure: 1, online medical acquisition platform; 2, HDFS distributed file system; 3, Hbase database; 4, Hadoop framework.
Embodiment
For summary of the invention of the present invention, Characteristic can be understood further, hereby exemplify following examples, and coordinate accompanying drawing to be described in detail as follows.
Refer to Fig. 1:
As shown in Figure 1, the large data acquisition and analysis system of the medical treatment of the embodiment of the present invention mainly comprises: online medical acquisition platform 1, HDFS distributed file system 2, Hbase database 3, Hadoop framework 4;
Online medical acquisition platform 1, for receiving the health data uploaded;
HDFS distributed file system 2, is connected with online medical acquisition platform 1, for building distributed file system, for the database built based on this file system is prepared;
Hbase database 3, is connected with HDFS distributed file system 2, for storing medical data.
Hadoop framework 4, is connected with Hbase database 3, and for performing MapReduce program, the analysis medical data of batch processing, for application layer provides Data support;
By the health and fitness information of online medical acquisition platform collector, bottom adopts HDFS distributed file system, and the database of HBase towards row is built on upper strata.
Write MapReduce program to be run by Hadoop framework, write corresponding algorithm for demand, the passable result obtaining needing.
As shown in Figure 2, basal layer, the server being installed Centos system by multiple stage forms, and loads basic software, for podium level provides basic environment;
Podium level: be made up of large Data Analysis Services framework, and on this some analysis software of integrated installation, for functional layer provides basis of software;
Functional layer: machine learning, runs MapReduce program, analyzes data, for operation layer provides Data support;
Operation layer: be made up of data collection station and market demand, data acquisition and the application to Analysis of Medical Treatment Data.
First basal layer adopts multiple computers to build a cluster environment, and the unified Centos 6.5 that installs stablizes edition system, carries out necessary dependence and installs.Build distributed file system HDFS above, build the luxuriant and rich with fragrance relevant database HBase towards row based on this.Cluster adopts Zookeeper to provide Consistency service for Distributed Application, ZooKeeper be one distributed, the distributed application program coordination service of open source code.The stability of this cluster can be ensured.
The large data acquisition analysis method of medical treatment of the embodiment of the present invention is needing the local installation data collector gathering medical data, as blood pressure instrument, heart rate detector etc., and by the data upload of collection to online medical acquisition platform, also support that acquisition target oneself uploads the health data of oneself;
By gathering and the data uploaded, be stored into the Hbase lane database based on distributed file system, according to the principle that acquisition target is corresponding with data, and to checking stored in database advance row format, prevent bad data stored in;
By stored in data application large data processing tools Hive, Pig carry out data processing, also can write the MapReduce program with respective algorithms for different demands, pre-service be carried out to data, pretreated data are deposited into database;
By the method for pretreated data application statistical study, machine learning, find out the rule in data, analyze the potential value of data.
By the data application after analyzing on medical field, make the behavior of clinical decision, Disease Warning Mechanism and analysis patient, multiple therapeutic scheme can be proposed clinically, also can make early warning by pop illness outbreak.
Principle of work: according to physiological data sense terminals uploading data or acquisition target oneself uploading data, collect medical data, and the magnanimity medical data of collection is deposited into the database Hbase based on distributed file system, large data processing tools is used to carry out pre-service with the MapReduce batch program oneself write to data, analyze the potential rule of data and value by statistical study, machine learning, then by the data application analyzed to medical field.It is characterized in that, the large data acquisition and analysis system of this medical treatment comprises: online medical acquisition platform, HDFS distributed file system, Hbase database, Hadoop framework.
The above is only to preferred embodiment of the present invention, not any pro forma restriction is done to the present invention, every according to technical spirit of the present invention to any simple modification made for any of the above embodiments, equivalent variations and modification, all belong in the scope of technical solution of the present invention.
Claims (4)
1. the large data acquisition analysis method of medical treatment, is characterized in that, the large data acquisition analysis method of this medical treatment at the local installation data collector gathering medical data, and by the data upload that gathers to online medical acquisition platform; By the data gathered and upload, be stored into the Hbase database based on distributed file system, according to the principle that acquisition target is corresponding with data, and to checking stored in database advance row format.
2. the large data acquisition analysis method of medical treatment as claimed in claim 1, it is characterized in that, described method comprises further:
By stored in data application large data processing tools Hive, Pig carry out data processing, write the MapReduce program with respective algorithms for different demands, pre-service carried out to data, pretreated data are deposited into database;
By the method for pretreated data application statistical study, machine learning, find out the rule in data, analyze the potential value of data;
By the data application after analyzing on medical field, make the behavior of clinical decision, Disease Warning Mechanism and analysis patient, propose multiple therapeutic scheme clinically, pop illness outbreak makes early warning.
3. the large data acquisition and analysis system of medical treatment, is characterized in that, the large data acquisition and analysis system of this medical treatment comprises: online medical acquisition platform, HDFS distributed file system, Hbase database, Hadoop framework;
Online medical acquisition platform, for receiving the health data uploaded;
HDFS distributed file system, is connected with online medical acquisition platform, for building distributed file system, for the database built based on this file system is prepared;
Hbase database, is connected with HDFS distributed file system, for storing the medical data accepting to upload;
Hadoop framework, with Hbase DataBase combining, for performing MapReduce program, the analysis medical data of batch processing, for application layer provides Data support.
4. the large data acquisition and analysis system of medical treatment as claimed in claim 3, is characterized in that, the large data acquisition and analysis system of this medical treatment comprises operation layer, functional layer, podium level, basal layer;
Basal layer, the server being installed Centos system by multiple stage forms, for podium level provides basic environment;
Podium level, is made up of, for functional layer provides basis of software large Data Analysis Services framework;
Functional layer, machine learning, runs MapReduce program, analyzes data, for operation layer provides Data support;
Operation layer, is made up of data collection station and market demand, data acquisition and the application to Analysis of Medical Treatment Data.
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Cited By (37)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105138816A (en) * | 2015-07-23 | 2015-12-09 | 杭州电子科技大学 | Cloud computation based mammary molybdenum target computer aided detection and remote diagnosis system |
| CN105243285A (en) * | 2015-11-10 | 2016-01-13 | 广州西麦科技股份有限公司 | Big data health forecast system |
| CN105243277A (en) * | 2015-10-10 | 2016-01-13 | 平凡 | Computer-aided medical data processing system and method |
| CN105512470A (en) * | 2015-12-01 | 2016-04-20 | 苏州登顶医疗科技有限公司 | Enema instrument data process system based on Hadoop platform |
| CN105958652A (en) * | 2016-06-23 | 2016-09-21 | 江苏科技大学 | Unattended operation transformer substation pre-warning system and method based on big data analysis |
| CN106097216A (en) * | 2016-06-23 | 2016-11-09 | 桂林电子科技大学 | Intelligent medical treatment equipment cut-in methods based on big data |
| CN106295220A (en) * | 2016-08-19 | 2017-01-04 | 京东方科技集团股份有限公司 | A kind of medical data management method, device and Medically Oriented Data System |
| CN106506702A (en) * | 2016-12-28 | 2017-03-15 | 芜湖乐锐思信息咨询有限公司 | Novel intelligent medical information management system |
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2002139502A (en) * | 2000-08-25 | 2002-05-17 | Sysmex Corp | Method and system for providing analysis data |
| US20020087358A1 (en) * | 1998-12-16 | 2002-07-04 | Gilbert Edward H. | System, method, and computer program product for processing diagnostic, treatment, costs, and outcomes information for effective analysis and health care guidance |
| KR20020061572A (en) * | 2002-06-25 | 2002-07-24 | 주식회사 베베콤 | Method for providing of integrated medical treatment service and apparatus thereof |
| CN103049556A (en) * | 2012-12-28 | 2013-04-17 | 中国科学院深圳先进技术研究院 | Fast statistical query method for mass medical data |
| CN103870713A (en) * | 2014-04-04 | 2014-06-18 | 李骍 | Family cloud healthcare system and method |
| CN104111996A (en) * | 2014-07-07 | 2014-10-22 | 山大地纬软件股份有限公司 | Health insurance outpatient clinic big data extraction system and method based on hadoop platform |
| CN104200669A (en) * | 2014-08-18 | 2014-12-10 | 华南理工大学 | Fake-licensed car recognition method and system based on Hadoop |
-
2015
- 2015-03-26 CN CN201510136209.5A patent/CN104699985A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20020087358A1 (en) * | 1998-12-16 | 2002-07-04 | Gilbert Edward H. | System, method, and computer program product for processing diagnostic, treatment, costs, and outcomes information for effective analysis and health care guidance |
| JP2002139502A (en) * | 2000-08-25 | 2002-05-17 | Sysmex Corp | Method and system for providing analysis data |
| KR20020061572A (en) * | 2002-06-25 | 2002-07-24 | 주식회사 베베콤 | Method for providing of integrated medical treatment service and apparatus thereof |
| CN103049556A (en) * | 2012-12-28 | 2013-04-17 | 中国科学院深圳先进技术研究院 | Fast statistical query method for mass medical data |
| CN103870713A (en) * | 2014-04-04 | 2014-06-18 | 李骍 | Family cloud healthcare system and method |
| CN104111996A (en) * | 2014-07-07 | 2014-10-22 | 山大地纬软件股份有限公司 | Health insurance outpatient clinic big data extraction system and method based on hadoop platform |
| CN104200669A (en) * | 2014-08-18 | 2014-12-10 | 华南理工大学 | Fake-licensed car recognition method and system based on Hadoop |
Non-Patent Citations (1)
| Title |
|---|
| 高汉松 等: "基于云计算的医疗大数据挖掘平台", 《医学信息学杂志》 * |
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