• DocumentCode
    3339680
  • Title

    Correlation rule study of Symptom in Traditional Chinese Medicine and biological parameter

  • Author

    Zhao, Hui-hui ; Chen, Jian-xin ; Hou, Na ; Han, Jing ; Hou, Qin ; Liu, Jing ; Zhang, Peng ; Qiu, Qi ; Pan, Qiu ; Wang, Yong ; Wang, Wei

  • Author_Institution
    Beijing Univ. of Chinese Med., Beijing, China
  • Volume
    1
  • fYear
    2009
  • fDate
    14-16 Aug. 2009
  • Firstpage
    125
  • Lastpage
    128
  • Abstract
    Correlate macroscopic syndrome and microscopic indexes is a very urgent and difficult problem in traditional Chinese medicine (TCM). The aim of this study was to establish correlative rule of symptom in TCM and biological parameter and establish biological parameter diagnosis pattern of symptom in TCM. Twenty-two biological parameters were detected on thirty-two unstable angina with QI deficiency syndrome patients and ten healthy people. Using decision tree, we gain a pattern made by three biological parameters which could distinguish unstable angina with QI deficiency syndrome patients from the healthy people. The diagnosis accuracy could reach 75%. The obtained patterns are validated by 3- fold cross validation. The decision tree may be a suitable data mining method for the establishment of correlative rule of symptom in TCM and biological parameter and for the discovery of illness or symptom in TCM diagnosis pattern.
  • Keywords
    data mining; decision trees; diseases; medical diagnostic computing; QI deficiency syndrome; TCM; biological parameter; data mining; decision tree; symptom; traditional Chinese medicine; unstable angina; Biological materials; Data mining; Decision trees; Hospitals; Medical diagnostic imaging; Microscopy; Myocardium; Pain; Reflection; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IT in Medicine & Education, 2009. ITIME '09. IEEE International Symposium on
  • Conference_Location
    Jinan
  • Print_ISBN
    978-1-4244-3928-7
  • Electronic_ISBN
    978-1-4244-3930-0
  • Type

    conf

  • DOI
    10.1109/ITIME.2009.5236447
  • Filename
    5236447