title: Discovering herbal functional groups of traditional Chinese medicine.
abstract: 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.
authors.affiliation: Center for Statistical Science, Peking University, Beijing, People's Republic of China.
authors.forename: Ping
authors.initials: P
authors.lastname: He
authors.forename: Ke
authors.initials: K
authors.lastname: Deng
authors.forename: Zhihai
authors.initials: Z
authors.lastname: Liu
authors.forename: Delin
authors.initials: D
authors.lastname: Liu
authors.forename: Jun S
authors.initials: JS
authors.lastname: Liu
authors.forename: Zhi
authors.initials: Z
authors.lastname: Geng
mesh_terms: D003198:Computer Simulation; D055808:Drug Discovery / Q000379:methods* / Q000706:statistics & numerical data*; D011307:Drug Prescriptions; D004365:Drugs, Chinese Herbal / Q000737:chemistry* / Q000627:therapeutic use; D006801:Humans; D008516:Medicine, Chinese Traditional
chemical_list: D004365:Drugs, Chinese Herbal