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Discovering herbal functional groups of traditional Chinese medicine
Author(s) -
He Ping,
Deng Ke,
Liu Zhihai,
Liu Delin,
Liu Jun S.,
Geng Zhi
Publication year - 2011
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/sim.4146
Subject(s) - medical prescription , traditional medicine , chinese herbs , traditional chinese medicine , set (abstract data type) , alternative medicine , medicine , computer science , pharmacology , pathology , programming language
For the traditional Chinese medicine (TCM), a prescription for a patient often contains several herbs. Some herbs are often used together in prescriptions, and these herbs can be considered as a functional group. In this paper, we propose an approach for discovering herbal functional groups from a large set of prescriptions recorded in TCM books. These functional groups are allowed to overlap with each other. Our approach is validated with a simulation study and applied to a data set containing thousands of TCM prescriptions. Copyright © 2011 John Wiley & Sons, Ltd.