International Journal of
Information and Education Technology

Editor-In-Chief: Prof. Jon-Chao Hong
Frequency: Monthly
ISSN: 2010-3689 (Online)
E-mali: editor@ijiet.org
Publisher: IACSIT Press
 

OPEN ACCESS
3.9
CiteScore

IJIET 2012 Vol.2(3): 224-226
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 , 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.

Keywords

  • Oriental medicine database
  • bangyakhappyeon
  • herbal materials
  • association rules
115-K0011

How to Cite

Copied

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. https://doi.org/10.7763/IJIET.2012.V2.115

Copyright & License

Copyright © 2012 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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