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General Information
    • ISSN: 2010-3689
    • Frequency: Bimonthly (2011-2014); Monthly (Since 2015)
    • DOI: 10.18178/IJIET
    • Editor-in-Chief: Prof. Dr. Steve Thatcher
    • Executive Editor: Ms. Nancy Y. Liu
    • Abstracting/ Indexing: EI (INSPEC, IET), Electronic Journals Library, Google Scholar, Crossref and ProQuest
    • E-mail: ijiet@ejournal.net
Editor-in-chief
Prof. Dr. Steve Thatcher
University of South Australia, Australia
It is my honor to be the editor-in-chief of IJIET. The journal publishes good papers which focous on the advanced researches in the field of information and education technology. Hopefully, IJIET will become a recognized journal among the scholars in the filed of information and education technology.
IJIET 2012 Vol.2(3): 224-226 ISSN: 2010-3689
DOI: 10.7763/IJIET.2012.V2.115

A Text Mining Approach to Find Patterns Associated with Diseases and Herbal Materials in Oriental Medicine

Ji Hoon Kang, Dong Hoon Yang, Young Bae Park, and Seoung Bum Kim

Abstract—Currently, in Oriental Medicine, obtaining the statistical backgrounds is a very important and challenging issue to be authorized as the evidence-based medical science. Medicinal treatment is one of main part in Oriental Medicine, and it has some difficulties to specify the effectiveness of herbs because of its own theoretical basis and practical experience. The main purpose of this study is to clarify the relationship between herbal materials and efficacy of remedies in Bangyakhappyeon which is one of the representative textbook in Oriental Medicine with a text mining approach. We adopted an association rule induction combined with the network analysis and found useful and informative relationships between the symptoms and herbal materials.

Index Terms—Oriental medicine database; bangyakhappyeon; herbal materials; association rules

J. H. Kang and S. B. Kim are with the School of Industrial Management Engineering, Korea University, Seoul, Korea
D. H. Yang, Y. B. Park are with the Department of Biofunctional Medicine & Diagnostics, Kyung Hee University, Seoul, Korea

[PDF]

Cite: Ji Hoon Kang, Dong Hoon Yang, Young Bae Park, and Seoung Bum Kim, "A Text Mining Approach to Find Patterns Associated with Diseases and Herbal Materials in Oriental Medicine," International Journal of Information and Education Technology vol. 2, no. 3, pp. 224-226, 2012.

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