DocumentCode
2927282
Title
Data Mining Application to Syndrome Differentiation in Traditional Chinese Medicine
Author
Bo, Wang ; Ming-Wei, Zhang ; Bin, Zhang ; Wei-Jie, Wei
Author_Institution
Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang
fYear
2006
fDate
Dec. 2006
Firstpage
128
Lastpage
131
Abstract
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
Keywords
data mining; medical computing; data mining; hypergraph; medical symptom; syndrome differentiation; traditional Chinese medicine; Clinical trials; Clustering algorithms; Data engineering; Data mining; Diseases; Educational institutions; Immune system; Information science; Medical diagnostic imaging; Pathogens;
fLanguage
English
Publisher
ieee
Conference_Titel
Parallel and Distributed Computing, Applications and Technologies, 2006. PDCAT '06. Seventh International Conference on
Conference_Location
Taipei
Print_ISBN
0-7695-2736-1
Type
conf
DOI
10.1109/PDCAT.2006.51
Filename
4032164
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