Application of genetic algorithm for discovery of core effective formulae in TCM clinical data

Yang, M, Poon, J, Wang, S, Jiao, L, Poon, S, Cui, L, Chen, P, Sze, M and Xu, L 2013, 'Application of genetic algorithm for discovery of core effective formulae in TCM clinical data', Computational and mathematical methods in medicine, vol. 2013, 971272, pp. 1-17.

Document type: Journal Article
Collection: Journal Articles

Title Application of genetic algorithm for discovery of core effective formulae in TCM clinical data
Author(s) Yang, M
Poon, J
Wang, S
Jiao, L
Poon, S
Cui, L
Chen, P
Sze, M
Xu, L
Year 2013
Journal name Computational and mathematical methods in medicine
Volume number 2013
Article Number 971272
Start page 1
End page 17
Total pages 17
Publisher Hindawi Publishing Corporation
Abstract Research on core and effective formulae (CEF) does not only summarize traditional Chinese medicine (TCM) treatment experience, it also helps to reveal the underlying knowledge in the formulation of a TCM prescription. In this paper, CEF discovery from tumor clinical data is discussed. The concepts of confidence, support, and effectiveness of the CEF are defined. Genetic algorithm (GA) is applied to find the CEF from a lung cancer dataset with 595 records from 161 patients. The results had 9 CEF with positive fitness values with 15 distinct herbs. The CEF have all had relative high average confidence and support. A herb-herb network was constructed and it shows that all the herbs in CEF are core herbs. The dataset was divided into CEF group and non-CEF group. The effective proportions of former group are significantly greater than those of latter group. A Synergy index (SI) was defined to evaluate the interaction between two herbs. There were 4 pairs of herbs with high SI values to indicate the synergy between the herbs. All the results agreed with the TCM theory, which demonstrates the feasibility of our approach.
Subject Bioinformatics
Keyword(s) antiinflammatory agent
antineoplastic agent
diuretic agent
herbaceous agent
immunoglobulin enhancer binding protein
immunostimulating agent
protein kinase C
antineoplastic agent
herbaceous agent
herbaceous agent
DOI - identifier 10.1155/2013/971272
Copyright notice Copyright © 2013 Ming Yang et al. This is an open access article distributed under the Creative Commons Attribution License,
ISSN 1748-6718
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Citation counts: TR Web of Science Citation Count  Cited 4 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 7 times in Scopus Article | Citations
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