• DocumentCode
    526329
  • Title

    IUI mining: Template base variation approach

  • Author

    Kooptiwoot, Suwimon

  • Author_Institution
    Comput. Sci. Program, Suan Sunandha Rajabhat Univ., Bangkok, Thailand
  • Volume
    3
  • fYear
    2010
  • fDate
    9-11 July 2010
  • Firstpage
    282
  • Lastpage
    284
  • Abstract
    Medical data mining is challenging. In this paper, we propose a new data mining method which is the combination of some existing ideas consisting of the concept of template based learning, the large fraction proposed in and the support and confidence as proposed in to mine a medical data set, IUI (Intrauterine Insemination) data and show the results. This data is about Intra Uterine Insemination treatment which helps couples in infertility clinic to get pregnancy. The results show that the knowledge mined is satisfied by the experts in the field.
  • Keywords
    biological techniques; data mining; medical computing; obstetrics; patient treatment; IUI mining; Intra Uterine Insemination treatment; infertility clinic; medical data mining; template base variation approach; template based learning; Bayesian methods; Laboratories; Noise measurement; Reliability theory; IUI Mining; Large Fraction; Medical Data Mining; Support and Confidence Value; Template Base;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-5537-9
  • Type

    conf

  • DOI
    10.1109/ICCSIT.2010.5563597
  • Filename
    5563597