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The Application Of Data Mining Technology In The Medical Treatment Insurance System

Posted on:2008-06-06Degree:MasterType:Thesis
Country:ChinaCandidate:G QinFull Text:PDF
GTID:2178360212482042Subject:Computer software and theory
Abstract/Summary:PDF Full Text Request
With the continuously developing of the computer technology, the computer management has gradually stepped into various industries. It becomes more and more urgently to deal with the multifarious daily affairs in the medical treatment insurance industry by computer. The medical treatment insurance system mentioned in this paper is an application of computer technology in the medical treatment insurance industry; the application of the fuzzy data mining in the system is also a tentative application of the fuzzy data mining technology in the medical treatment insurance field.Data mining is a process in which people pick up information that people interested in from the large-scale database. The information is connotative, unknown, potential, helpful and denoted as concepts, regularities, patterns and so on. The information could be supplied to the decision-maker directly in the assistant decision-making process, it could be supplied to the field experts to modify the information system and it could also be stored in the information storage institute as new information. Fuzzy data mining technology utilize the date mining technology existed before and combine with the fuzzy theory in order to discover broader content from the large numbers of date and its mining results could be more comprehensive for the consumers.The correlative conception, the technology of the data mining and the fuzzy data mining are analyzied, the b/s structure of the medical treament insurance system is designed, and the general design and the detailed design of a module in the system are mentioned in this paper. We also try to apply the fuzzy data mining technology to the partition of the medical treatment subsystem and show the results and the run interface of the medical treatment insurance system developed finally. The system has been run in due form in the Linjiang medical treatment insurance center and the application effect is of success.
Keywords/Search Tags:Medical treatment insurance, Data mining, Fuzzy data mining, Fuzzy clustering
PDF Full Text Request
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