• DocumentCode
    1933266
  • Title

    Artificial Intelligence and Data Mining Techniques in Medicine – Success Stories

  • Author

    Shadabi, Fariba ; Sharma, Dharmendra

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Univ. of Canberra, Canberra, ACT
  • Volume
    1
  • fYear
    2008
  • fDate
    27-30 May 2008
  • Firstpage
    235
  • Lastpage
    239
  • Abstract
    Artificially Intelligent (AI) powered tools are able to deal with uncertain and incomplete data sets. Neural network classifiers have been successfully used for prediction purposes in many complex situations. Research shows that Al-based data mining tools have been also successfully used in many medical environments. This paper advances the understanding of the application of Artificial Intelligence and Data Mining tools to clinical data by demonstrating the potential of these techniques in complex clinical situations.
  • Keywords
    artificial intelligence; biomedical engineering; data mining; medicine; neural nets; pattern classification; AI based data mining tools; artificial intelligence; clinical data; data mining techniques; medicine; neural network classifiers; Artificial intelligence; Artificial neural networks; Biomedical engineering; Cancer; Data mining; Databases; Diabetes; Intelligent systems; Machine learning; Medical expert systems; Data Mining; Medicine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    BioMedical Engineering and Informatics, 2008. BMEI 2008. International Conference on
  • Conference_Location
    Sanya
  • Print_ISBN
    978-0-7695-3118-2
  • Type

    conf

  • DOI
    10.1109/BMEI.2008.170
  • Filename
    4548668