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Study on the Networks of "Nature-Family-Component" of Chinese Medicinal Herbs Based on Association Rules Mining

Study on the Networks of "Nature-Family-Component" of Chinese Medicinal Herbs Based on Association Rules Mining

作     者:付先军 王振国 曲毅 王鹏 周扬 于华芸 

作者机构:School of Information ManagementShandong University of Traditional Chinese Medicine Mobile Postdoctoral Stations of Traditional Chinese Medical ScienceShandong University of Traditional Chinese Medicine Eye Institute of Shandong University of Traditional Chinese Medicine 

出 版 物:《Chinese Journal of Integrative Medicine》 (中国结合医学杂志(英文版))

年 卷 期:2013年第19卷第9期

页      面:663-667页

核心收录:

学科分类:1008[医学-中药学(可授医学、理学学位)] 12[管理学] 1006[医学-中西医结合] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 100602[医学-中西医结合临床] 10[医学] 

基  金:Supported by the Major State Basic Research Development Program of China(973 Program,No.2007CB512601) National High Technology Research and Development Program of China(863 Program,No.2013AA093001) the Ph.D. Programs Foundation of Ministry of Education of China(No. 20123731120001) Postdoctoral Innovation Funds of Shandong Province(No.201102036) the Construction Program of Shandong Province University Scientific Innovation Team 

主  题:Associate Network Nature-Family-Component Chinese medicinal herbs 

摘      要:Objective: To explore appropriate methods for the research of the theory of Chinese medicine nature property and find the relationship between Nature-Family-Component of Chinese herbs. Methods: From perspective of systems biology, we used Associate Network to identify useful relationships among "Nature- Family-Component" of Herbs. In this work, Associate Network combines association rules mining method and network construction method to evaluate the complicate relationship among "Nature-Family-Component" of herbs screened. Results: The results of association rules mining showed that the families had a close relationship with nature properties of herbs. For example, the families of Magnoliaceae, Araceae had a close relationship with hot nature with confidence of 100%, the families of Cucurbitaceae has a close relationship to cold nature with confidence of 90,91%. Moreover, the results of constructed Associate Network implied that herbs belonging to the same families generally had the same natures. In addition, some herbs belonging to different families may also have same natures when they contain the same main components. Conclusion: These results implied that the main components of herbs might affect their natures; the relationships between families and natures were based on the main compounds of herbs.

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