Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.jep.2006.11.037
Title: Are herb-pairs of traditional Chinese medicine distinguishable from others? Pattern analysis and artificial intelligence classification study of traditionally defined herbal properties
Authors: Ung, C.Y. 
Li, H. 
Cao, Z.W.
Li, Y.X.
Chen, Y.Z. 
Keywords: Artificial intelligent method
Herb pair
Herbal medicine
Herbal property
Support vector machine
Traditional Chinese medicine
Issue Date: 4-May-2007
Source: Ung, C.Y., Li, H., Cao, Z.W., Li, Y.X., Chen, Y.Z. (2007-05-04). Are herb-pairs of traditional Chinese medicine distinguishable from others? Pattern analysis and artificial intelligence classification study of traditionally defined herbal properties. Journal of Ethnopharmacology 111 (2) : 371-377. ScholarBank@NUS Repository. https://doi.org/10.1016/j.jep.2006.11.037
Abstract: Multi-herb prescriptions of traditional Chinese medicine (TCM) often include special herb-pairs for mutual enhancement, assistance, and restraint. These TCM herb-pairs have been assembled and interpreted based on traditionally defined herbal properties (TCM-HPs) without knowledge of mechanism of their assumed synergy. While these mechanisms are yet to be determined, properties of TCM herb-pairs can be investigated to determine if they exhibit features consistent with their claimed unique synergistic combinations. We analyzed distribution patterns of TCM-HPs of TCM herb-pairs to detect signs indicative of possible synergy and used artificial intelligence (AI) methods to examine whether combination of their TCM-HPs are distinguishable from those of non-TCM herb-pairs assembled by random combinations and by modification of known TCM herb-pairs. Patterns of the majority of 394 known TCM herb-pairs were found to exhibit signs of herb-pair correlation. Three AI systems, trained and tested by using 394 TCM herb-pairs and 2470 non-TCM herb-pairs, correctly classified 72.1-87.9% of TCM herb-pairs and 91.6-97.6% of the non-TCM herb-pairs. The best AI system predicted 96.3% of the 27 known non-TCM herb-pairs and 99.7% of the other 1,065,100 possible herb-pairs as non-TCM herb-pairs. Our studies suggest that TCM-HPs of known TCM herb-pairs contain features distinguishable from those of non-TCM herb-pairs consistent with their claimed synergistic or modulating combinations. © 2006 Elsevier Ireland Ltd. All rights reserved.
Source Title: Journal of Ethnopharmacology
URI: http://scholarbank.nus.edu.sg/handle/10635/105678
ISSN: 03788741
DOI: 10.1016/j.jep.2006.11.037
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