EMC Research China, Beijing, 100084, China.
Chin J Integr Med. 2012 Feb;18(2):88-92. doi: 10.1007/s11655-011-0860-6. Epub 2011 Oct 12.
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.
中医（CM）是一门具有独特方法和哲学原理的学科。CM 的主要治疗方法是使用草药方剂。通常，将几种草药组合在一起形成一个配方，并根据不同的患者开出不同的配方。处方中草药的混合规律对于临床治疗和新药的开发都很重要。在这项研究中，我们使用潜在树（LT）模型来分析 CM 配方数据。发现了有趣的规律。这些规律不仅对学习中医的学生有意义，对使用中草药制药的制药公司也有意义。
