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Text Mining for Clinical Chinese Herbal Medical Knowledge Discovery

  • Xuezhong Zhou
  • Baoyan Liu
  • Zhaohui Wu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3735)

Abstract

Chinese herbal medicine has been an effective therapy for healthcare and disease treatment. Large amount of TCM literature data have been curated in the last ten years, most of which is about the TCM clinical researches with herbal medicine. This paper develops text mining system named MeDisco/3T to extract the clinical Chinese medical formula data from literature, and discover the combination knowledge of herbal medicine by frequent itemset analysis. Over 18,000 clinical Chinese medical formula are acquired, furthermore, significant frequent herbal medicine pairs and the family combination rule of herbal medicine have primary been studied.

Keywords

Traditional Chinese Medicine Herbal Medicine Chinese Herbal Medicine Frequent Itemset Data Mining Algorithm 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Xuezhong Zhou
    • 1
  • Baoyan Liu
    • 1
  • Zhaohui Wu
    • 2
  1. 1.China Academy of Traditional Chinese MedicineBeijingP.R. China
  2. 2.College of Computer ScienceZhejiang UniveristyHangzhouP.R. China

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