• DocumentCode
    2344695
  • Title

    Data Mining and Medical Research Studies

  • Author

    Khajehei, Marjan ; Etemady, Faried

  • Author_Institution
    Curtin Bus. Sch., Curtin Univ. of Technol., Perth, WA, Australia
  • fYear
    2010
  • fDate
    28-30 Sept. 2010
  • Firstpage
    119
  • Lastpage
    122
  • 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.
  • Keywords
    data analysis; data mining; health care; medical information systems; data analysis tools; data mining; health care information systems; medical research studies; pattern discovery; Analysing Methods; Data Mining; Medical Research;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence, Modelling and Simulation (CIMSiM), 2010 Second International Conference on
  • Conference_Location
    Bali
  • Print_ISBN
    978-1-4244-8652-6
  • Electronic_ISBN
    978-0-7695-4262-1
  • Type

    conf

  • DOI
    10.1109/CIMSiM.2010.24
  • Filename
    5701832