• DocumentCode
    536400
  • Title

    A new method to find the most suitable syndrome healed by commonly paired herbs based on association rule

  • Author

    Gong, Jun ; Dong, Junlong ; Tang, Jiafu ; Zhang, Lin ; Liang, Maoxin

  • Author_Institution
    Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
  • Volume
    2
  • fYear
    2010
  • fDate
    29-31 Oct. 2010
  • Firstpage
    53
  • Lastpage
    56
  • Abstract
    The purpose of this paper is to find the most suitable syndrome healed by commonly paired herbs in Chinese compound formula. A new method based on Chinese medicine literature and association rule technique is proposed, which solves the disadvantage of the minimum support degree in many studies. The results are validated by the theory of traditional Chinese medicine. The results illustrate that the new method is effective and suitable to be used generally.
  • Keywords
    data mining; medical computing; Chinese compound formula; Chinese medicine literature; association rule technique; commonly paired herbs; association rule; data mining; paired herbs; prescription compatibility;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computing and Intelligent Systems (ICIS), 2010 IEEE International Conference on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-1-4244-6582-8
  • Type

    conf

  • DOI
    10.1109/ICICISYS.2010.5658837
  • Filename
    5658837
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=536400