• DocumentCode
    584458
  • Title

    The Use of Data Mining in Pharmic Quality Analysis of Traditional Chinese Medicines

  • Author

    Wu, Xia ; Long, Shun ; Zhu, Wei-heng

  • Author_Institution
    Dept. of Comput. Sci., JiNan Univ., Guangzhou, China
  • fYear
    2012
  • fDate
    11-13 Aug. 2012
  • Firstpage
    1431
  • Lastpage
    1434
  • Abstract
    We present in this paper our works on applying data mining techniques to research on traditional Chinese medicines. This is aim to unveil the underlying associations between chemical ingredients of traditional Chinese medicines and their pharmic qualities which are of vital importance in both research and practice. Various data mining approaches have been evaluated, as well as different performance improvement techniques, among which we identify the best for practice. Our results can help guide future researches on traditional Chinese medicines, particularly in the development of new medicines.
  • Keywords
    data mining; medicine; performance evaluation; pharmaceuticals; quality control; chemical ingredients; data mining techniques; performance improvement techniques; pharmic qualities; pharmic quality analysis; traditional Chinese medicines; Accuracy; Association rules; Bayesian methods; Chemicals; Decision trees; Itemsets; Chemical Ingredients; Data Mining; Pharmic Quality Analysis; Traditional Chinese Medicine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science & Service System (CSSS), 2012 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4673-0721-5
  • Type

    conf

  • DOI
    10.1109/CSSS.2012.360
  • Filename
    6394598