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Clustering Algorithm for Extracting Chinese Herbal Medicine’s Chemical Composition

  • Wei Guang Li
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 217)

Abstract

Traditional Chinese medicine is a shining pear in China’s scientific developmental history. To cure illness with it has its unique effect and contribution. But the illnesses database, the prescription database and herbal medicine database are very large and complex, so we have to treat these databases’ data through database technology. The article analyzes the chemical composition of some traditional Chinese medicine to cure some illness by means of data mining. First, we build three databases: the illnesses database, the prescription database and herbal medicine database. Second, we search the prescription database to some illness to find all traditional Chinese medicine. Third, we cluster these traditional Chinese medicines to find the common composition. And it may be useful in the treatment for illness. And this way gives doctors a way to treat some illness.

Keywords

Traditional chinese medicine Database Data mining Clustering algorithm 

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Copyright information

© Springer-Verlag London 2013

Authors and Affiliations

  1. 1.The Information Technology Department of GuangHua College of ChangChun UniversityJilinPeople’s Republic of China

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