• DocumentCode
    2927282
  • Title

    Data Mining Application to Syndrome Differentiation in Traditional Chinese Medicine

  • Author

    Bo, Wang ; Ming-Wei, Zhang ; Bin, Zhang ; Wei-Jie, Wei

  • Author_Institution
    Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang
  • fYear
    2006
  • fDate
    Dec. 2006
  • Firstpage
    128
  • Lastpage
    131
  • Abstract
    Traditional Chinese medicine is special for Western people. Its diagnosis and treatment depend on syndrome. Syndrome is composed of some symptoms, and each symptom demonstrates different values in different syndrome. In this paper, we first describe approach of syndrome and symptom in TCM. Then, a hierarch model of syndrome differentiation in traditional Chinese medicine is proposed. According to the model, data mining model is designed to complete it. Given special data mining schema and character of high dimensional data sets, we introduce hypergraph in cluster and attributes combination in association procedure. Finally, the result of model in syndrome differentiation of traditional Chinese medicine is given
  • Keywords
    data mining; medical computing; data mining; hypergraph; medical symptom; syndrome differentiation; traditional Chinese medicine; Clinical trials; Clustering algorithms; Data engineering; Data mining; Diseases; Educational institutions; Immune system; Information science; Medical diagnostic imaging; Pathogens;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Computing, Applications and Technologies, 2006. PDCAT '06. Seventh International Conference on
  • Conference_Location
    Taipei
  • Print_ISBN
    0-7695-2736-1
  • Type

    conf

  • DOI
    10.1109/PDCAT.2006.51
  • Filename
    4032164