CN110096495A - Accurate medicine big data analysis processing system - Google Patents
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- CN110096495A CN110096495A CN201910219554.3A CN201910219554A CN110096495A CN 110096495 A CN110096495 A CN 110096495A CN 201910219554 A CN201910219554 A CN 201910219554A CN 110096495 A CN110096495 A CN 110096495A
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- 238000012545 processing Methods 0.000 title claims abstract description 38
- 239000003814 drug Substances 0.000 title claims abstract description 27
- 238000007405 data analysis Methods 0.000 title claims abstract description 17
- 238000006243 chemical reaction Methods 0.000 claims abstract description 19
- 238000004458 analytical method Methods 0.000 claims abstract description 15
- 238000013079 data visualisation Methods 0.000 claims abstract description 9
- 238000003860 storage Methods 0.000 claims description 11
- 238000013500 data storage Methods 0.000 claims description 9
- 238000007418 data mining Methods 0.000 claims description 7
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- 238000013528 artificial neural network Methods 0.000 claims description 3
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- 230000007246 mechanism Effects 0.000 description 2
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- G—PHYSICS
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- G06F16/21—Design, administration or maintenance of databases
- G06F16/215—Improving data quality; Data cleansing, e.g. de-duplication, removing invalid entries or correcting typographical errors
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- G—PHYSICS
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- 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 provides accurate medicine big data analysis processing systems, it include: to be acquired to medical data, and data cleansing is carried out to collected medical data, the medical data of acquisition is examined and be verified, deleting duplicated data, correct wrong data, then data conversion is carried out, the structure of medical data to be converted to the data mode for meeting memory requirement, the medical data for finally completing data conversion is transmitted to primary database or distributed data base or Hadoop subsystem；Search window data and data visualization window are provided, user inputs the related text for needing the medical data searched in search window data, analysis and processing module analyzes and determines the content of text, medical data is transferred in selection from primary database or distributed data base or Hadoop subsystem, and the medical data is shown in data visualization window.
Description
Technical field
The present invention relates to big data fields, and in particular to accurate medicine big data analysis processing system.
Background technique
Medicine big data analysis processing system is the big data processing platform that enterprise-level calculates key technology, is counted to using big
According to processing come recognize tumour hereditary feature and morbidity molecule mechanism, and to the individuality of cancer prevention or treatment zone come it is powerful and
Accurately guidance, the data that can effectively solve clinical data and group data are difficult to the difficulty merged.However China is at present still
There are not similar accurate medicine big data management and shared platform, therefore the retrieval mode of accurate medical data is limited
System, and the data retrieved often have gaps and omissions, do not improve or data relationship it is indefinite, bring many inconvenience.
Summary of the invention
The technical problem to be solved in the present invention is that the data for learning data for above-mentioned current clinical data and group are difficult to melt
The technical issues of conjunction, provides accurate medicine big data analysis processing system and solves above-mentioned technological deficiency.
Accurate medicine big data analysis processing system, comprising:
Data acquisition module: carrying out data cleansing for being acquired to medical data, and to collected medical data,
The medical data of acquisition is examined and be verified, deleting duplicated data, wrong data is corrected, then carries out data conversion,
The structure of medical data to be converted to the data mode for meeting memory requirement, the medicine number of finally completing data conversion
According to being transmitted to primary database or distributed data base or Hadoop subsystem；Collected medical data includes structured medical number
According to, semi-structured medical data and unstructured medical data；
Distributed data base: distributed structured in the medical data for passing through data cleansing and data conversion for storing
Medical data, and distributed computing, data depth analysis and data mining are carried out to distributed structured medical data, it will divide
Cloth structured medical data are associated and summarize, and the medical data collection after being associated with and summarizing can be exported to primary database
It closes；
Primary database: for storing the medical data Jing Guo data cleansing and data conversion；Half structure in primary database
Progress Hadoop processing, structured medical in Hadoop subsystem can be loaded by changing medical data and unstructured medical data
Data can be loaded into distributed data base and be stored；
Hadoop subsystem: for storing the semi-structured medicine in the medical data for passing through data cleansing and data conversion
Data and unstructured medical data, and the semi-structured medical data and unstructured medical data are carried out at Hadoop
Reason, obtains new structured medical data and is loaded into distributed data base, structured medical data do not need then to handle, directly
It is loaded into distributed data base；
Man-machine interactive platform: for providing search window data and data visualization window, user is in search window data
The related text for the medical data that middle input needs to search for, analysis and processing module analyze and determine the content of text, select
It selects and transfers medical data from primary database or distributed data base or Hadoop subsystem, and shown in data visualization window
Show the medical data；
Analysis and processing module: the classification of the medical data for transferring needed for judging is selected from primary database, distributed number
According to transferring medical data relevant to the input text, and maintenance data in one or more of library and Hadoop subsystem
Mining algorithm carries out data mining in primary database, distributed data base and Hadoop subsystem, complete accurate to transfer
Medical data.
Further, data acquisition module is acquired medical data using data warehouse technology ETL.
Further, distributed data base stores ODS storage by data cleansing and data conversion by operation data
Distributed structured medical data in medical data, and data storage supports PB grades.
Further, primary database does not have the data type, data structure, data storage method of the medical data of storage
It is required that.
Further, Hadoop subsystem can either carry out Hadoop processing to the medical data of itself storage, can also add
The medical data carried in primary database carries out Hadoop processing.
Further, structured medical data include between various disease datas, drug data, treatment data and data
Relationship, semi-structured medical data include image data, and unstructured medical data includes gene data.
Further, the data mining algorithm used in analysis and processing module includes artificial neural network, decision tree ID3 calculation
Method, aggregation, RSL language in rough set.
Present invention has an advantage that this patent is directed to the characteristics of accurate medicine big data and big data storage method and data
Transmission mode provides a medical big data storage and analysis system, and has search and the visual function of data, while right
Using depth data excavation and machine learning, efficient, profession, accurate technological guidance sum number can be provided accurate medical application
According to analysis.
Detailed description of the invention
Present invention will be further explained below with reference to the attached drawings and examples, in attached drawing:
Fig. 1 is the present invention precisely medicine big data analysis processing system structure chart.
Specific embodiment
For a clearer understanding of the technical characteristics, objects and effects of the present invention, now control attached drawing is described in detail
A specific embodiment of the invention.
Accurate medicine big data analysis processing system, as shown in Figure 1, comprising:
Data acquisition module: for being acquired using ETL to medical data, and collected medical data is counted
According to cleaning, the medical data of acquisition is examined and be verified, deleting duplicated data, wrong data is corrected, then counted
According to conversion, the structure of medical data is converted to the data mode for meeting memory requirement, finally completes to obtain by data conversion
Medical data be transmitted to primary database or distributed data base or Hadoop subsystem；Collected medical data includes structure
Change medical data, semi-structured medical data and unstructured medical data.
ETL is the abbreviation of data warehouse technology (Extract-Transform-Load), is a kind of method of data processing,
Data are extracted (extract) from data source, then convert (transform), (load) is loaded and arrives destination, the purpose is to
Utilize purpose end data parallel processing ability.
Distributed data base: for passing through the distribution in the medical data of data cleansing and data conversion by ODS storage
Formula structured medical data, and distributed computing, data depth analysis and data are carried out to distributed structured medical data and are dug
Pick, distributed structured medical data is associated and is summarized, such as by the pathological information and treatment method of a kind of disease
It is associated, and the medical data set after being associated with and summarizing can be exported to primary database；Data storage supports PB grades.
ODS (Operation Data Store) is operation storing data, since Based Data Warehouse System is very complicated, data
Source type is different, and position, format of storage etc. are also different, and it is very difficult for carrying out data pick-up to these data.ODS is used
In storage source data, data structure, the logical relation of these data are all almost the same, therefore can greatly reduce and extract data
Complexity.
Primary database: for storing the medical data Jing Guo data cleansing and data conversion, primary database is general data
Library does not require the data type, data structure, data storage method of the medical data of storage；Half hitch in primary database
Structure medical data and unstructured medical data can be loaded into progress Hadoop processing in Hadoop subsystem, structuring doctor
Data, which can be loaded into distributed data base, to be stored.
Hadoop subsystem: for storing the semi-structured medicine in the medical data for passing through data cleansing and data conversion
Data and unstructured medical data, and the semi-structured medical data and unstructured medical data are carried out at Hadoop
Reason, obtains new structured medical data and is loaded into distributed data base, structured medical data do not need then to handle, directly
It is loaded into distributed data base；Structured medical data mainly include various disease datas, drug data, treatment data and data
Between relationship, semi-structured medical data mainly includes image data, and unstructured medical data mainly includes gene data.
Man-machine interactive platform: for providing search window data and data visualization window, user is in search window data
The related text for the medical data that middle input needs to search for, analysis and processing module analyze and determine the content of text, select
It selects and transfers medical data from primary database or distributed data base or Hadoop subsystem, and shown in data visualization window
Show the medical data.
Analysis and processing module: the classification of the medical data for transferring needed for judging is selected from primary database, distributed number
According to transferring medical data relevant to the input text, and maintenance data in one or more of library and Hadoop subsystem
Algorithm (such as artificial neural network, decision tree ID3 algorithm, aggregation, RSL language etc. in rough set) in excavation primary database,
Data mining is carried out in distributed data base and Hadoop subsystem, to ensure to transfer complete accurate medical data.
When in use, user searches for " clinic " in the search window data on man-machine interactive platform to this system, at analysis
Reason module will analyze the classification in relation to clinical medical data, and under normal circumstances, clinical data includes that clear data (such as join by sign
Number, result of laboratory test), clinical image (such as inspection result of B ultrasound, CT, MRT medical imaging devices), text information is (such as patient
Identity record, symptom description, detection and diagnosis result character express) and genetic test information (patient part gene mutation, again
Situations such as arranging and expanding) etc..Analysis and processing module transfers clear data and text information from primary database and distributed data base
Deng transferring clinical image and genetic test information etc. from Hadoop subsystem, then summarize to the medical data transferred
It arranges, is finally shown in the data visualization window by summarized results on man-machine interactive platform.It is stored in primary database
Medical data and distributed data base in the data content of medical data that stores it is identical, the difference of two databases mainly exists
In the storage mode of data, distributed data base has multiple advantages: flexible architecture, and adapts to distributed management
And control mechanism, economic performance is superior, and high reliablity, availability are good, and the fast response time of topical application, scalability is good, easily
In integrated existing system；But still have that communication overhead is big, access structure is complicated, the safety of data and confidentiality are difficult to deal with
Disadvantage.Therefore this system is actual in use, suitable database (primary database or distribution can be chosen according to actual needs
Database) type.
The embodiment of the present invention is described with above attached drawing, but the invention is not limited to above-mentioned specific
Embodiment, the above mentioned embodiment is only schematical, rather than restrictive, those skilled in the art
Under the inspiration of the present invention, without breaking away from the scope protected by the purposes and claims of the present invention, it can also make very much
Form, all of these belong to the protection of the present invention.
Claims (7)
1. accurate medicine big data analysis processing system characterized by comprising
Data acquisition module: data cleansing is carried out for being acquired to medical data, and to collected medical data, with right
The medical data of acquisition is examined and is verified, deleting duplicated data, corrects wrong data, and data conversion is then carried out, will
The structure of medical data is converted to the data mode for meeting memory requirement, and the medical data for finally completing data conversion passes
Transport to primary database or distributed data base or Hadoop subsystem；Collected medical data include structured medical data,
Semi-structured medical data and unstructured medical data；
Distributed data base: for storing the distributed structured medicine in the medical data for passing through data cleansing and data conversion
Data, and distributed computing, data depth analysis and data mining are carried out to distributed structured medical data, it will be distributed
Structured medical data are associated and summarize, and the medical data set after being associated with and summarizing can be exported to primary database；
Primary database: for storing the medical data Jing Guo data cleansing and data conversion；Semi-structured doctor in primary database
Progress Hadoop processing, structured medical data in Hadoop subsystem can be loaded by learning data and unstructured medical data
It can be loaded into distributed data base and be stored；
Hadoop subsystem: for storing the semi-structured medical data in the medical data for passing through data cleansing and data conversion
With unstructured medical data, and Hadoop processing is carried out to the semi-structured medical data and unstructured medical data,
It obtains new structured medical data and is loaded into distributed data base, structured medical data do not need then to handle, and directly add
It is downloaded to distributed data base；
Man-machine interactive platform: for providing search window data and data visualization window, user is defeated in search window data
Enter the related text of medical data for needing to search for, analysis and processing module analyzes and determines the content of text, selection from
Medical data is transferred in primary database or distributed data base or Hadoop subsystem, and institute is shown in data visualization window
State medical data；
Analysis and processing module: the classification of the medical data for transferring needed for judging is selected from primary database, distributed data base
With medical data relevant to the input text is transferred in one or more of Hadoop subsystem, and maintenance data excavates
Algorithm carries out data mining in primary database, distributed data base and Hadoop subsystem, to transfer complete accurate medicine
Data.
2. accurate medicine big data analysis processing system according to claim 1, which is characterized in that data acquisition module is adopted
Medical data is acquired with data warehouse technology ETL.
3. accurate medicine big data analysis processing system according to claim 1, which is characterized in that distributed data base is logical
Operation data storage ODS storage is crossed by the distributed structured medicine number in the medical data of data cleansing and data conversion
According to, and data storage supports PB grades.
4. accurate medicine big data analysis processing system according to claim 1, which is characterized in that primary database is to storage
The data type of medical data, data structure, data storage method do not require.
5. accurate medicine big data analysis processing system according to claim 1, which is characterized in that Hadoop subsystem was both
Hadoop processing can be carried out to the medical data of itself storage, the medical data that can also load in primary database carries out Hadoop
Processing.
6. accurate medicine big data analysis processing system according to claim 1, which is characterized in that structured medical data
Including the relationship between various disease datas, drug data, treatment data and data, semi-structured medical data includes image number
According to unstructured medical data includes gene data.
7. accurate medicine big data analysis processing system according to claim 1, which is characterized in that in analysis and processing module
The data mining algorithm of use includes artificial neural network, decision tree ID3 algorithm, aggregation, RSL language in rough set.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN111181786A (en) * | 2019-12-30 | 2020-05-19 | 杭州东方通信软件技术有限公司 | User feedback fault information processing method, device, server and storage medium |
| CN111324671A (en) * | 2020-03-02 | 2020-06-23 | 苏州工业园区洛加大先进技术研究院 | Biomedical high-speed information processing and analyzing system based on big data technology |
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