Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/11962
Title: Studying Herb-Herb Interaction for Insomnia through the theory of Complementarities
Contributor(s): Poon, Josiah (author); Poon, Simon (author); Gao, Junbin (author); Yin, Dawei (author); Chan, Kelvin (author); Loy, Clement (author); Zhou, Xuezhong (author); Zhang, Runshun (author); Liu, Baoyan (author); Kwan, Paul H  (author); Sze, Daniel (author)
Publication Date: 2010
DOI: 10.1109/BIBMW.2010.5703897
Handle Link: https://hdl.handle.net/1959.11/11962
Abstract: The efficacy of a TCM medication derives from the herb-herb interaction in a formula. Although there are standard formulae, a practitioner will only pick a subset of formulas as templates and personalize them for the patients. It is not easy to determine the true interacting herbs to contribute to the effectiveness of a treatment. Association rule mining is an approach to find the co-occurrence of some items, however, it is not goal-oriented, and the generated results are very sensitive to the given parameters, i.e. support count. The aim of this paper is to introduce a new framework to systematically generate a set of combinations of interacting herbs that leads to good outcome. This algorithm was tested with a dataset of treatment of insomnia to understand the effectiveness of combination of herbs. Interesting and insightful results were noted and discussed.
Publication Type: Conference Publication
Conference Details: BIBM 2010: IEEE International Conference on Bioinformatics and Biomedicine, Hong Kong, China, 18th - 21st December, 2010
Source of Publication: Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW), p. 722-726
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Place of Publication: Los Alamitos, United States of America
Fields of Research (FoR) 2008: 080109 Pattern Recognition and Data Mining
111711 Health Information Systems (incl Surveillance)
080605 Decision Support and Group Support Systems
Socio-Economic Objective (SEO) 2008: 899999 Information and Communication Services not elsewhere classified
Peer Reviewed: Yes
HERDC Category Description: E1 Refereed Scholarly Conference Publication
Publisher/associated links: http://www.math.hkbu.edu.hk/BIBM2010/
Appears in Collections:Conference Publication

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