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Computational methods for traditional Chinese medicine: a survey

Lukman, Suryani; He, Yulan and Hui, Siu-Cheung (2007). Computational methods for traditional Chinese medicine: a survey. Computer Methods and Programs in Biomedicine, 88(3) pp. 283–294.

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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.

Item Type: Journal Item
Copyright Holders: 2007 Elsevier Ireland Ltd
ISSN: 0169-2607
Keywords: computational methods; traditional Chinese medicine; data and text mining; knowledge discovery
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Research Group: Centre for Research in Computing (CRC)
Item ID: 23798
Depositing User: Kay Dave
Date Deposited: 01 Mar 2011 09:47
Last Modified: 07 Dec 2018 09:41
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