Data mining application to syndrome differentiation in Traditional Chinese Medicine

被引：0

作者：

Wang Bo ^{[1
]}

Zhang Ming-Wei ^{[1
]}

Zhang Bin ^{[1
]}

Wei Wei-Jie ^{[1
]}

机构：

[1] Northeastern Univ, Coll Informat Sci & Engn, Shenyang 110004, Peoples R China

来源：

SEVENTH INTERNATIONAL CONFERENCE ON PARALLEL AND DISTRIBUTED COMPUTING, APPLICATIONS AND TECHNOLOGIES, PROCEEDINGS | 2006年

关键词：

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

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.

引用

页码：128 / +

页数：2

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