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    Data mining and medical research studies

    Access Status
    Fulltext not available
    Authors
    Khajehei, Marjan
    Etemady, Faried
    Date
    2010
    Type
    Conference Paper
    
    Metadata
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    Citation
    Khajehei, Marjan and Etemady, Faried. 2010. Data mining and medical research studies, in Suwarno and Jasmy Yunus (ed), 2nd International Conference on Computer Modelling and Simulation (CIMSim 2010), Sep 28 2010, pp. 119-122. Bali, Indonesia: Conference Publishing Service.
    Source Title
    Proceedings of the 2nd international conference on computer modelling and simulation (CIMSim 2010)
    Source Conference
    2nd International Conference on Computer Modelling and Simulation (CIMSim 2010)
    ISBN
    9780769542621
    School
    Digital Ecosystems and Business Intelligence Institute (DEBII)
    URI
    http://hdl.handle.net/20.500.11937/39951
    Collection
    • Curtin Research Publications
    Abstract

    Health care information systems tend to capture data for their research in order to promote the level of people?s health status and the satisfaction of individuals in societies. To this aim, many approaches have been taken and examined. Data mining is one of the newest analytical methods that have been used to serve medical science research and has been shown to be a valid, sensitive, and reliable method to discover patterns and relationships. It involves the use of data analysis tools to discover previously unknown, valid patterns and relationships in large data sets. While data mining represents a significant advance in the type of analytical tools currently available, medical research studies have benefitted from its application in many areas of interest.In this article, we are to review the role of data mining and its importance in medical science studies.

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