中国中医药信息杂志2013，Vol.20Issue(3)：31-33,3.DOI:10.3969/j.issn.1005-5304.2013.03.013
基于关联规则和复杂系统熵聚类的颜正华治疗痞满用药规律研究
Analysis on TCM Master Yan Zhenghua's Medication Rule in Prescriptions for Gastric Stuffiness Based on Apriori and Clustering Algorithm
摘要
Abstract
Objective To analyze the medication rule and experience of professor Yan Zhenghua for gastric stuffiness by using Traditional Chinese Medicine (TCM) inheritance support system. Methods Yan Zhenghua's prescriptions for gastric stuffiness were collected and input into TCM inheritance support system. The composing principles were analyzed by using data mining methods such as revised mutual information, complex system entropy cluster and unsupervised hierarchical cluster. Results Based on the analysis of 143 prescriptions, the frequency of each herb and association rules among the herbs were computed, 51 core combinations and 12 new prescriptions were mined out from the database. Conclusion Professor Yan Zhenghua is good at soothing the liver, regulating qi, simulating the circulation of blood to relieve gastric stuffiness.关键词
颜正华/痞满/关联规则/聚类算法Key words
Yan Zhenghua/ gastric stuffiness/ association rules/ clustering algorithm分类
医药卫生引用本文复制引用
吴嘉瑞,张冰,杨冰,陈丹..基于关联规则和复杂系统熵聚类的颜正华治疗痞满用药规律研究[J].中国中医药信息杂志,2013,20(3):31-33,3.基金项目
国家科技支撑计划(2007BAI10B01) （2007BAI10B01）
北京市自然科学基金(7112075) （7112075）
北京市中医药科技发展基金(JJ-2010-70) （JJ-2010-70）
北京中医药大学科研创新团队项目(2011-CXTD-14) （2011-CXTD-14）
北京中医药大学自主选题项目(JYB22-JS020) （JYB22-JS020）
