• DocumentCode
    680262
  • Title

    The syndrome differentiation model and program of traditional Chinese medicine based on the fuzzy recognition

  • Author

    Tao Yang ; Chengyu Wu ; Zheng Xu ; Yiyan Ding

  • Author_Institution
    Sch. of Basic Med., Nanjing Univ. of Chinese Med., Nanjing, China
  • fYear
    2013
  • fDate
    18-21 Dec. 2013
  • Firstpage
    285
  • Lastpage
    287
  • Abstract
    Objective: To establish a syndrome differentiation model and program of Traditional Chinese Medicine (TCM) based on fuzzy recognition. Method: According to the syndrome differentiation system of five zang-organs, combined with approaching principle in the fuzzy mathematics, the fuzzy recognition model of heart system basic syndrome was established first, and then the program was designed based on this model. 200 medical records of heart system were tested retrospectively with the program. Result: The accurate rate of syndrome differentiation program was 84.5% Conclusion: The nonlinear mapping between heart basic syndromes and symptoms could be simulated by using fuzzy recognition. The thought of this paper could be applied to syndrome differentiation system of five zang-organs, which would provide methodology for syndrome standardization.
  • Keywords
    cardiology; diseases; fuzzy systems; medical diagnostic computing; physiological models; fuzzy mathematics; fuzzy recognition model; heart basic syndromes; heart system; nonlinear mapping; syndrome differentiation model; syndrome differentiation program; syndrome differentiation system; syndrome standardization; traditional chinese medicine based program; Diseases; Educational institutions; Equations; Heart; Mathematical model; Medical diagnostic imaging; basic syndrome; fuzzy recognition; heart system; syndrome differentiation model; syndrome elements;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedicine (BIBM), 2013 IEEE International Conference on
  • Conference_Location
    Shanghai
  • Type

    conf

  • DOI
    10.1109/BIBM.2013.6732695
  • Filename
    6732695