NDLI: Analysis of herbal formulation in TCM: Infertility as a case study

Content Provider	IEEE Xplore Digital Library
Author	Poon, S.K. Kei Fan Poon, J. Loy, C. Chan, K. Xuezhong Zhou Runshun Zhang Yinghui Wang Jinghong Xie Baoyan Liu Kwan, P. Junbin Gao Sze, D.
Copyright Year	2011
Description	Author affiliation: University of New England, Armidale, Australia (Xuezhong Zhou) \|\| Wang, Jinghong Xie, Baoyan Liu, China Academy of Chinese, Medical Sciences, Beijing, China (Jinghong Xie) \|\| Beijing Jiaotong University, Beijing, China (Runshun Zhang) \|\| Hong Kong Polytechnic, University, Hong Kong (Baoyan Liu) \|\| University of Sydney, Sydney, Australia (Poon, S.K.; Kei Fan; Poon, J.; Loy, C.; Chan, K.) \|\| Charles Sturt University Australia (Yinghui Wang)
Abstract	Herbal prescription in Traditional Chinese Medicine (TCM) relies on the experience of the prescribing doctor after appropriate diagnosis. The combination of herbs chosen, though based on the various Classics, can vary between patients with the same diagnosis. Furthermore, the underlying principles for the choice of herbs are not well defined, and the actual formations can also vary from doctor to doctor. We believe that the prescriptions are the embodiment of the wisdom of the successful doctors, in the process of diagnosis and treatment. Thus it is important to extract the wisdom and discover the knowledge important to the understanding of TCM. The data mining technique employed for analysis here is the Qualitative Comparative Analysis (QCA). This particular analytical method is adopted from social science study, where it is a small-N analysis, meaning that case number is small relative the number of causal factors. The results of this study in the form of configurations indicate not only the herbs (present herbs) necessary for a positive outcome, but the choice of some other herbs (absent herbs) may impact negatively on the outcome.
Starting Page	868
Ending Page	872
File Size	754495
Page Count	5
File Format	PDF
ISBN	9781457716126
e-ISBN	9781457716133
DOI	10.1109/BIBMW.2011.6112488
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-11-12
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Pregnancy Classfication Based Association Rules Causal Complexity Infertility Treatment Educational institutions Complexity theory Association rules Medical diagnostic imaging interactions Qualitative Comparative Analysis
Content Type	Text
Resource Type	Article

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