Discovery of Regularities in the Use of Herbs in Chinese Medicine Prescriptions  

作　　者：陈弢 周雪忠 张润顺 张连文 

机构地区：[1]EMC Research China [2]School of Computer and Information Technology,Beijing Jiaotong University [3]Guang'anmen Hospital,China Academy of Chinese Medical Sciences [4]Department of Computer Science and Engineering,The Hong Kong University of Science and Technology

出　　处：《Chinese Journal of Integrative Medicine》2012年第2期88-92,共5页中国结合医学杂志（英文版）

基　　金：Supported by Program of Beijing Municipal S&T Commission, China(No.D08050703020803,D08050703020804);China NSFC Project(No.90709006);National Key Technology R&D Program k(2007BA110B06);China 973 Project(No.2011CB505101)

摘　　要：Chinese medicine （CM） is a discipline with its own distinct methodologies and philosophical principles. The main method of treatment in CM is to use herbal prescriptions. Typically, a number of herbs are combined to form a formula and different formulae are prescribed for different patients. Regularities in the mixture of herbs in the prescriptions are important for both clinical treatment and novel patent medicine development. In this study, we analyze CM formula data using latent tree （LT） models. Interesting regularities are discovered. Those regularities are of interest to students of CM as well as pharmaceutical companies that manufacture medicine using Chinese herbs.Chinese medicine （CM） is a discipline with its own distinct methodologies and philosophical principles. The main method of treatment in CM is to use herbal prescriptions. Typically, a number of herbs are combined to form a formula and different formulae are prescribed for different patients. Regularities in the mixture of herbs in the prescriptions are important for both clinical treatment and novel patent medicine development. In this study, we analyze CM formula data using latent tree （LT） models. Interesting regularities are discovered. Those regularities are of interest to students of CM as well as pharmaceutical companies that manufacture medicine using Chinese herbs.

关 键 词：herb regularities latent tree model Chinese medicine prescription 

分 类 号：R288[医药卫生—中药学]