Artificial Intelligence in Medicine
Volume 41, Issue 3 , Pages 177-196 , November 2007

Evaluation of rule interestingness measures in medical knowledge discovery in databases

  • Miho Ohsaki

      Affiliations

    • Faculty of Engineering, Doshisha University, 1-3 Tataramiyakodani, Kyotanabe-shi, Kyoto 610-0321, Japan
    • Corresponding Author InformationCorresponding author. Tel.: +81 774 65 6468; fax: +81 774 65 6468.
  • ,
  • Hidenao Abe

      Affiliations

    • Department of Medical Informatics, Shimane University, 89-1 Enya-cho, Izumo-shi, Shimane 693-8501, Japan
  • ,
  • Shusaku Tsumoto

      Affiliations

    • Department of Medical Informatics, Shimane University, 89-1 Enya-cho, Izumo-shi, Shimane 693-8501, Japan
  • ,
  • Hideto Yokoi

      Affiliations

    • Department of Medical Informatics, Kagawa University Hospital, 1750-1 Ikenobe, Miki-cho, Kita-gun, Kagawa 761-0793, Japan
  • ,
  • Takahira Yamaguchi

      Affiliations

    • Faculty of Science and Technology, Keio University, 3-14-1 Hiyoshi, Kohoku-ku, Yokohama-shi, Kangawa 223-8522, Japan

Received 18 October 2006 ,Revised 24 July 2007 ,Accepted 24 July 2007.

To access this article, please choose from the options below

Login to an existing account or Register a new account.

  • Purchase this article for 31.50 USD (You must login/register to purchase this article)

    Online access for 24 hours. The PDF version can be downloaded as your permanent record.

  • Subscribe to this title

    Get unlimited online access to this article and all other articles in this title 24/7 for one year.

  • Claim access now

    For current subscribers with Society Membership or Account Number.

  • Visit SciVerse ScienceDirect to see if you have access via your institution.

PII: S0933-3657(07)00092-9

doi: 10.1016/j.artmed.2007.07.005

Artificial Intelligence in Medicine
Volume 41, Issue 3 , Pages 177-196 , November 2007