• DocumentCode
    3456200
  • Title

    A Classified Herbs Method and Searching Algorithm of Classification Tree Used for Mathematical Measurement of Effect

  • Author

    Quanquan Gao ; Tingge Ren ; Xiaofeng Liu ; Ping Gao ; Fan Zhang ; Yan Sun ; Erqun Tang ; Yongyi Chen

  • Author_Institution
    Acad. of Math & Syst., Chinese Acad. of Sci., Beijing, China
  • fYear
    2009
  • fDate
    7-9 Dec. 2009
  • Firstpage
    745
  • Lastpage
    750
  • Abstract
    It´s the fundamental guarantee of intelligent mining curative efficacies of prescriptions to establish mathematical models, which transforms data in a prescription into reflection of essential intensity of effect. As we know, logical classification based on characteristics of herbs is a necessary precondition to design measuring models indicating essential effect of any herb. This paper proposes a natural classification method, whereby complexity of classification is largely decreased, and requirements required by measuring effect of any herb are satisfied. Through discussion on equivalence characteristic attributes of herbs and dosage, as well as implicative relevancy of dosage range and dosage, this paper presents algorithms of classifying herbs, used for intelligent mining of efficacies of Chinese Medicine Prescriptions, which can help to achieve automatically implementation of classified herbs in practice.
  • Keywords
    pattern classification; pharmaceuticals; search problems; Chinese medicine prescriptions; classification tree; classified herbs method; design measuring models; effect mathematical measurement; intelligent mining curative efficacies; logical classification; searching algorithm; Artificial intelligence; Classification algorithms; Classification tree analysis; Diseases; Mathematical model; Medical control systems; Medical diagnostic imaging; Meteorology; Reflection; Sun;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Computing, Information and Control (ICICIC), 2009 Fourth International Conference on
  • Conference_Location
    Kaohsiung
  • Print_ISBN
    978-1-4244-5543-0
  • Type

    conf

  • DOI
    10.1109/ICICIC.2009.4
  • Filename
    5412332