• DocumentCode
    680238
  • Title

    The investigation of laws underlying association rules of treating coronary heart disease which by famous old TCM doctor Wang Xing-kuan

  • Author

    Yan Jun-feng ; Gong Hou-wu ; Lu Jin-hua ; Li Jin-yang

  • Author_Institution
    Hunan Univ. of TCM, Changsha, China
  • fYear
    2013
  • fDate
    18-21 Dec. 2013
  • Firstpage
    52
  • Lastpage
    55
  • Abstract
    Objective: Analysis and Data Mining the treatment laws of Coronary Heart Disease by famous old TCM doctor Wang Xing-kuan. Explore the methods of famous old TCM doctor´s experience. Method: To collect 143 effective cases and 267 diagnoses, and establish Coronary Heart Disease clinic database, the study investigated the inherent laws of Treating Coronary Heart Disease by Prof. Wang. Result : In the 143 cases, chest tightness, shortness of breath, heart palpitations are common symptoms; liver-heart dysfunctions, heart meridian stasis, phlegm-blood stasis are common pathogenesis, liver, heart, blood stasis are common syndrome elements, and liver-heart conjunction treatment, removing phlegm and blood stasis, liver-discharging, and enhancing qi is the most common treatment method. Conclusion: The research analyzed the association mode between pathogenesis and treatment method. It reveals the academic thinking of Wang´s liver-heart conjunction treatment, and it also provides a good clinical guidance.
  • Keywords
    cardiology; data mining; diseases; liver; medical information systems; patient treatment; TCM doctor; Wang Xing-kuan; association rules; coronary heart disease treatment; data mining; heart meridian stasis; liver-heart conjunction treatment; liver-heart dysfunctions; phlegm-blood stasis; Data mining; Databases; Diseases; Heart; Liver; Medical diagnostic imaging; Association Rules; Coronary Heart Disease; Pathogenesis; Syndrome Elements; Treatment Method;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedicine (BIBM), 2013 IEEE International Conference on
  • Conference_Location
    Shanghai
  • Type

    conf

  • DOI
    10.1109/BIBM.2013.6732637
  • Filename
    6732637