Literature DB >> 21994029

Discovery of regularities in the use of herbs in Chinese medicine prescriptions.

Tao Chen1, Xue-zhong Zhou, Run-shun Zhang, Lian-wen Zhang.   

Abstract

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.

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Year:  2011        PMID: 21994029     DOI: 10.1007/s11655-011-0860-6

Source DB:  PubMed          Journal:  Chin J Integr Med        ISSN: 1672-0415            Impact factor:   1.978


  6 in total

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6.  Latent tree models and diagnosis in traditional Chinese medicine.

Authors:  Nevin L Zhang; Shihong Yuan; Tao Chen; Yi Wang
Journal:  Artif Intell Med       Date:  2007-12-21       Impact factor: 5.326

  6 in total
  4 in total

1.  Multistage analysis method for detection of effective herb prescription from clinical data.

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3.  A novel multi-target regression framework for time-series prediction of drug efficacy.

Authors:  Haiqing Li; Wei Zhang; Ying Chen; Yumeng Guo; Guo-Zheng Li; Xiaoxin Zhu
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  4 in total

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