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Data Mining Application to Syndrome Differentiation in Traditional Chinese Medicine
Taipei, Taiwan December 04-December 07
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/PDCAT.2006.51Seventh International Conference on P ...
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Wang Bo, Northeastern University, China
Zhang Ming-Wei, Northeastern University, China
Zhang Bin, Northeastern University, China
Wei Wei-Jie, Northeastern University, China
Traditional Chinese Medicine is special for western people. Its diagnosis and treatment depend on syndrome. Syndrome is composed of some symptoms, and each symptom demonstrates different values in different syndrome. In this paper, we first describe approach of syndrome and symptom in TCM. Then, a hierarch model of syndrome differentiation in Traditional Chinese Medicine is proposed. According to the model, data mining model is designed to complete it. Given special data mining schema and character of high dimensional data sets, we introduce hypergraph in cluster and attributes combination in association procedure. Finally, the result of model in syndrome differentiation of Traditional Chinese Medicine is given.
Citation:
Wang Bo, Zhang Ming-Wei, Zhang Bin, Wei Wei-Jie, "Data Mining Application to Syndrome Differentiation in Traditional Chinese Medicine," pdcat, pp.128-131, Seventh International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT'06), 2006
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