Literature DB >> 21413055

Discovering herbal functional groups of traditional Chinese medicine.

Ping He1, Ke Deng, Zhihai Liu, Delin Liu, Jun S Liu, Zhi Geng.   

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.
Copyright © 2011 John Wiley & Sons, Ltd.

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Year:  2011        PMID: 21413055     DOI: 10.1002/sim.4146

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  2 in total

1.  Efficacy-specific herbal group detection from traditional Chinese medicine prescriptions via hierarchical attentive neural network model.

Authors:  Li Chen; Xinglong Liu; Siyuan Zhang; Hong Yi; Yongmei Lu; Pan Yao
Journal:  BMC Med Inform Decis Mak       Date:  2021-02-18       Impact factor: 2.796

2.  TCMPR: TCM Prescription Recommendation Based on Subnetwork Term Mapping and Deep Learning.

Authors:  Xin Dong; Yi Zheng; Zixin Shu; Kai Chang; Jianan Xia; Qiang Zhu; Kunyu Zhong; Xinyan Wang; Kuo Yang; Xuezhong Zhou
Journal:  Biomed Res Int       Date:  2022-02-17       Impact factor: 3.411

  2 in total

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