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基于数据挖掘方法的经典中药复方药物组成分布类型研究
引用本文:付先军,宋旭霞,魏陵博,王振国. 基于数据挖掘方法的经典中药复方药物组成分布类型研究[J]. 中国结合医学杂志, 2013, 19(8): 621-628. DOI: 10.1007/s11655-012-1090-2
作者姓名:付先军  宋旭霞  魏陵博  王振国
摘    要:


Study of the Distribution Patterns of the Constituent Herbs in Classical Chinese Medicine Prescriptions Treating Respiratory Disease by Data Mining Methods
FU Xian-jun and SONG Xu-xi,WEI Lin-bo,WANG Zhen-guo. Study of the Distribution Patterns of the Constituent Herbs in Classical Chinese Medicine Prescriptions Treating Respiratory Disease by Data Mining Methods[J]. Chinese journal of integrative medicine, 2013, 19(8): 621-628. DOI: 10.1007/s11655-012-1090-2
Authors:FU Xian-jun  SONG Xu-xi  WEI Lin-bo  WANG Zhen-guo
Affiliation:11090. School of Information Management, Shandong University of Traditional Chinese Medicine, Jinan, 250355, China
21090. Key Laboratory of Marine Drugs, Ministry of Education, Marine Drug and Food Institute, Ocean University of China, Qingdao, Shandong Province, 266000, China
31090. Department of Neurology, Qingdao Municipal Hospital, Qingdao, Shandong Province, 266011, China
Abstract:
Keywords:multi-herb recipes   compatibility laws   respiratory disease   data mining methods
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