Association Rule Mining and Network Analysis in Oriental Medicine

Dong Hoon Yang, Ji Hoon Kang, Young Bae Park, Young Jae Park, Hwan Sup Oh, Seoung Bum Kim

Research output: Contribution to journalArticle

25 Citations (Scopus)

Abstract

Extracting useful and meaningful patterns from large volumes of text data is of growing importance. In the present study we analyze vast amounts of prescription data, generated from the book of oriental medicine to identify the relationships between the symptoms and the associated medicines used to treat these symptoms. The oriental medicine book used in this study (called Bangyakhappyeon) contains a large number of prescriptions to treat about 54 categorized symptoms and lists the corresponding herbal materials. We used an association rule algorithm combined with network analysis and found useful and informative relationships between the symptoms and medicines.

Original languageEnglish
Article numbere59241
JournalPloS one
Volume8
Issue number3
DOIs
Publication statusPublished - 2013 Mar 15

    Fingerprint

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Agricultural and Biological Sciences(all)
  • General

Cite this

Yang, D. H., Kang, J. H., Park, Y. B., Park, Y. J., Oh, H. S., & Kim, S. B. (2013). Association Rule Mining and Network Analysis in Oriental Medicine. PloS one, 8(3), [e59241]. https://doi.org/10.1371/journal.pone.0059241