• DocumentCode
    534244
  • Title

    The Research for Traditional Chinese Medicine´s Nature and its Classification Model

  • Author

    Nie, Bin ; Jianqiang Du ; Yu, Riyue ; Xu, Guoliang ; Wang, Zhuo ; Liu, Hongning ; Wen, Quan

  • Author_Institution
    Sch. of Comput., Jiang Xi Univ. of Traditional Chinese Med., Nanchang, China
  • Volume
    1
  • fYear
    2010
  • fDate
    16-18 July 2010
  • Firstpage
    358
  • Lastpage
    361
  • Abstract
    the research for traditional Chinese medicine´s warm and cold natures classification is a significative thing for clinical. The paper put forward a model to classify Chinese herbs´ warm and cold natures. The first, data preprocessing; The second, extract the typical M/Z(mass-to-charge ratio) character values from these mice of the train sample have been given the warm or cold natures which have been known The third, these typical character values model rules set, test it use other same type natures typical character values and the different type natures typical character values respectively, the result is to filter the very important values (VIP), as the classification rules. The model was proved to be feasible and effective after tested with 6 type´s warm nature´s herbs, 6 type´s cold nature´s herbs.
  • Keywords
    medicine; pattern classification; Chinese herb; Chinese medicine; cold nature classification; data preprocessing; warm nature classification; Biological system modeling; Data mining; Data models; Data preprocessing; Medical diagnostic imaging; Mice; Publishing; classification model; cold natures; data preprocessing; traditional Chinese medicin(TCM); warm natures;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology and Applications (IFITA), 2010 International Forum on
  • Conference_Location
    Kunming
  • Print_ISBN
    978-1-4244-7621-3
  • Electronic_ISBN
    978-1-4244-7622-0
  • Type

    conf

  • DOI
    10.1109/IFITA.2010.182
  • Filename
    5635040