Text mining for clinical chinese herbal medical knowledge discovery

Authors:
Xuezhong Zhou;Baoyan Liu;Zhaohui Wu
Affiliations:
China Academy of Traditional Chinese Medicine, Beijing, P.R. China;China Academy of Traditional Chinese Medicine, Beijing, P.R. China;College of Computer Science, Zhejiang Univeristy, Hangzhou, P.R. China
Venue:
DS'05 Proceedings of the 8th international conference on Discovery Science
Year:
2005

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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.