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Data Mining And Its Exploration Based On Hospital Information System

Posted on:2013-04-03Degree:MasterType:Thesis
Country:ChinaCandidate:Q KangFull Text:PDF
GTID:2248330395967612Subject:Computer technology
Abstract/Summary:PDF Full Text Request
With the rapid development of information technology, all hospitals to establish their own information systems, the database continues to expand the scale of increasing complexity, from large amounts of data to extract useful information to decision-making for hospital services is particularly important. Implementation of hospital information system (HIS), most used traditional database technology, data processing, mainly to operational processing, online transaction processing (OTLP). Despite a lot of business data, but the real decision-useful information rarely, but also resulted in the historical data and current data, operating data and analysis of data utilization and management of conflicts. To solve this problem, the data warehouse technology came into being.In this paper, the study of existing hospital information management system based on the proposed establishment of a program analysis tool based hospital information management system, data warehouse and data mining. The data warehouse is subject-oriented, integrated, stable, and at different times of the collection of data to support the decision-making process in the operation and management. The program is mainly to take advanage of the characteristics of the data warehouse, hospital information management system business data cleanup classified summary and organized storage into the data warehouse, to multidimensional query and retrieve data from a large amount of data to support to extract useful knowledge and modes.The project is on the basis of the establishment of the data warehouse, data mining techniques to a variety of complex analytical modeling of the data in the data warehouse,such as cluster analysis, decision-making for the hospital, the treatment and prevention of diseaseprovide a certain basis.
Keywords/Search Tags:HIS, Data warehouse, data mining, departments clustering
PDF Full Text Request
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