Please use this identifier to cite or link to this item:
|Title:||Usefulness of traditionally defined herbal properties for distinguishing prescriptions of traditional Chinese medicine from non-prescription recipes||Authors:||Ung, C.Y.
Statistical learning method
Support vector machine
Traditional Chinese medicine
|Issue Date:||3-Jan-2007||Citation:||Ung, C.Y., Li, H., Kong, C.Y., Wang, J.F., Chen, Y.Z. (2007-01-03). Usefulness of traditionally defined herbal properties for distinguishing prescriptions of traditional Chinese medicine from non-prescription recipes. Journal of Ethnopharmacology 109 (1) : 21-28. ScholarBank@NUS Repository. https://doi.org/10.1016/j.jep.2006.06.007||Abstract:||Traditional Chinese medicine (TCM) has been widely practiced and is considered as an attractive to conventional medicine. Multi-herb recipes have been routinely used in TCM. These have been formulated by using TCM-defined herbal properties (TCM-HPs), the scientific basis of which is unclear. The usefulness of TCM-HPs was evaluated by analyzing the distribution pattern of TCM-HPs of the constituent herbs in 1161 classical TCM prescriptions, which shows patterns of multi-herb correlation. Two artificial intelligence (AI) methods were used to examine whether TCM-HPs are capable of distinguishing TCM prescriptions from non-TCM recipes. Two AI systems were trained and tested by using 1161 TCM prescriptions, 11,202 non-TCM recipes, and two separate evaluation methods. These systems correctly classified 83.1-97.3% of the TCM prescriptions, 90.8-92.3% of the non-TCM recipes. These results suggest that TCM-HPs are capable of separating TCM prescriptions from non-TCM recipes, which are useful for formulating TCM prescriptions and consistent with the expected correlation between TCM-HPs and the physicochemical properties of herbal ingredients responsible for producing the collective pharmacological and other effects of specific TCM prescriptions. © 2006 Elsevier Ireland Ltd. All rights reserved.||Source Title:||Journal of Ethnopharmacology||URI:||http://scholarbank.nus.edu.sg/handle/10635/106499||ISSN:||03788741||DOI:||10.1016/j.jep.2006.06.007|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Jan 22, 2020
WEB OF SCIENCETM
checked on Jan 14, 2020
checked on Jan 18, 2020
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.