Text Mining for Clinical Chinese Herbal Medical Knowledge Discovery
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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.
KeywordsTraditional Chinese Medicine Herbal Medicine Chinese Herbal Medicine Frequent Itemset Data Mining Algorithm
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- 2.Jenssen, T.K., Lagreid, A., Komorowsk, J., et al.: A literature network of human genes for high-throughput analysis of gene expression. Nature Genetics 28, 21–28 (2001)Google Scholar
- 3.Bunescu, R., Ge, R., Rohit, J.K., et al.: Learning to Extract Proteins and their Interactions from Medline Abstracts. In: Fawcett, T., Mishra, N. (eds.) Proc. of ICML 2003 on Machine Learning in Bioinformatics, pp. 46–53. AAAI Press, Menlo Park (2003)Google Scholar
- 4.Nahm, U.Y., Mooney, R.J.: A Mutually Beneficial Integration of Data Mining and Information Extraction. In: AAAI 2000, Austin, TX, July 2000, pp. 627–632 (2000)Google Scholar