THCluster: Herb Supplements Categorization for Precision Traditional Chinese Medicine
8 Pages Posted: 11 Dec 2017 Last revised: 13 Dec 2017
Date Written: November 9, 2017
Abstract
There has been a continuing demand for traditional and complementary medicine worldwide. A fundamental and important topic in Traditional Chinese Medicine (TCM) is to optimize the prescription and to detect herb regularities model to solve this general problem of herb categorization, a pivotal task of prescription optimization and herb regularities. The model utilizes Random Walks method, Bayesian rules and Expectation Maximization (EM) models to complete a clustering analysis effectively on a heterogenous information network. We performed our method with other algorithms and experts. Experimental results have demonstrated the effectiveness of the proposed model for discovering useful categorization of herbs and its potential clinical manifestations.
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