JOURNAL OF SHANDONG UNIVERSITY (HEALTH SCIENCES) ›› 2012, Vol. 50 ›› Issue (2): 157-.

• Articles • Previous Articles     Next Articles

Construction and application of the Bayes network model in
traditional Chinese medicine elements

ZHONG Nv-juan1, SONG Yong-mei2, LIU Geng-sheng2, XUE Fu-zhong1, LIU Yan-xun1   

  1. 1. Institute of Health Statistics, School of Public Health, Shandong University, Jinan 250012, China;
    2. Traditional Chinese Medicine Literature Research Center， Shandong University of
    Traditional Chinese Medicine, Jinan 250355, China
  • Received:2011-10-08 Online:2012-02-10 Published:2012-02-10

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Abstract:

Objective   To investigate traditional Chinese medicine(TCM) prescription, Chinese herbal medicine property and therapeutic effects of TCM as a whole, construct the Bayes network, and clarify the relationship and internal action mechanism among them.  Methods   Based on historical books, such as Shen Nong's Herbal Classic, Famous doctor Don′t Record and New Materia Medica, 60 kinds of TCM were selected to build the Bayes network, and it was used to perform Bayes concluding.  Results   The Bayes network was stable and reliable to evaluate direct and indirect relationship among TCM prescription, properties and therapeutic effects using the Bayes formula.  Conclusion   The Bayes network can be used to investigate the causal and latent relationships among prescription, properties and effects of TCM, providing some theories for understanding TCM.

Key words: Bayesian network; Traditional Chinese medicine prescription; Property of traditional Chinese medicine

CLC Number: 

  • R282.5
[1] ZHANG Xin-xin1， LI YU1， JI Yu-jia2， WANG Peng2， ZHANG Yong-qing2， XUE Fu-zhong1. Discrimination of properties of Chinese Traditional Medicine with
principal component analysis-linear discriminant analysis [J]. JOURNAL OF SHANDONG UNIVERSITY (HEALTH SCIENCES), 2012, 50(1): 143-146.
[2] QI Fang1， RONG Rong2， XUE Fu-zhong1. Application of the Bayesian network in Chinese herbal  medicine property recognition [J]. JOURNAL OF SHANDONG UNIVERSITY (HEALTH SCIENCES), 2011, 49(5): 147-152.
[3] LI Yu， LI Xiao， XUE Fu-zhong， LIU Yan-xun. Discrimination of properties of Chinese traditional medicines  based on an artificial neural network [J]. JOURNAL OF SHANDONG UNIVERSITY (HEALTH SCIENCES), 2011, 49(1): 57-61.
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