Computational methods for Traditional Chinese Medicine: A survey

Authors:
Suryani Lukman;Yulan He;Siu-Cheung Hui
Affiliations:
Department of Chemistry, University of Cambridge, Cambridge CB2 1EW, UK;Informatics Research Centre, University of Reading, Reading RG6 6BX, UK;School of Computer Engineering, Nanyang Technological University, Nanyang Avenue, Singapore 639798, Singapore
Venue:
Computer Methods and Programs in Biomedicine
Year:
2007

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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.