Data Mining Application to Syndrome Differentiation in Traditional Chinese Medicine

Authors:
Wang Bo;Zhang Ming-Wei;Zhang Bin;Wei Wei-Jie
Affiliations:
Northeastern University, China;Northeastern University, China;Northeastern University, China;Northeastern University, China
Venue:
PDCAT '06 Proceedings of the Seventh International Conference on Parallel and Distributed Computing, Applications and Technologies
Year:
2006

Citing 0
Cited 1

Feature selection and syndrome prediction for liver cirrhosis in traditional Chinese medicine

Computer Methods and Programs in Biomedicine

Quantified Score

Hi-index	0.00

Visualization

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.