Computational methods for traditional Chinese medicine: a survey

Suryani Lukman, Yulan He, Siu-Cheung Hui

Research output: Contribution to journalArticle

Abstract

Traditional Chinese Medicine (TCM) has been actively researched through various approaches, including computational techniques. A review on basic elements of TCM is provided to illuminate various challenges and progresses in its study using computational methods. Information on various TCM formulations, in particular resources on databases of TCM formulations and their integration to Western medicine, are analyzed in several facets, such as TCM classifications, types of databases, and mining tools. Aspects of computational TCM diagnosis, namely inspection, auscultation, pulse analysis as well as TCM expert systems are reviewed in term of their benefits and drawbacks. Various approaches on exploring relationships among TCM components and finding genes/proteins relating to TCM symptom complex are also studied. This survey provides a summary on the advance of computational approaches for TCM and will be useful for future knowledge discovery in this area.
Original languageEnglish
Pages (from-to)283-294
Number of pages12
JournalComputer Methods and Programs in Biomedicine
Volume88
Issue number3
Early online date5 Nov 2007
DOIs
Publication statusPublished - 1 Dec 2007

Keywords

  • Computational methods
  • Traditional Chinese Medicine
  • Data and text mining
  • Knowledge discovery
  • Survey

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