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基于关联规则和熵聚类算法的颜正华治疗胸痹用药规律研究 被引量:31

Analysis on TCM Master YAN Zheng-hua's Medication Rule in Prescriptions for Chest Pain Based on Apriori and Clustering Algorithm
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摘要 目的:基于中医传承辅助系统软件,分析颜正华教授治疗胸痹的用药经验。方法:收集颜正华教授治疗胸痹的病案,采用关联规则apriori算法、复杂系统熵聚类等无监督数据挖掘方法,确定处方中各种药物的使用频次及药物之间的关联规则,分析颜正华教授治疗胸痹的用药经验。结果:对筛选出的122处方进行分析,确定处方中药物的使用频次,药物之间的关联规则,挖掘出34个核心组合和7首新处方。结论:颜正华教授治疗胸痹经验丰富,多用活血理气、养心安神之品。中医传承辅助系统对于挖掘名老中医临床经验具有重要实用价值。 Objective : To analyze the composing experience of professor Yan Zheng-hua for chest pain by using traditional Chinese medicine (TCM) inheritance support system. Method: Collecting the prescriptions for chest pain, then the data were entered into TCM inheritance support system and composing principles were analyzed by using datamining methods such as revised mutual information, complex system entropy cluster and unsupervised hierarchical cluster. Result: Based on the analysis of 122 Prescriptions, the frequency of each herb and association rules among the herbs were computed, 34 core combinations and 7 new prescriptions were mined from the database. Conclusion: Professor Yan Zhenghua is good at simulating the circulation of blood, regulating qi and nourishing the heart for tranquilize to relieve chest pain, TCM inheritance support system can be used to analyze senior TCM doctor clinical experience.
机构地区 北京中医药大学
出处 《中国实验方剂学杂志》 CAS 北大核心 2013年第2期348-351,共4页 Chinese Journal of Experimental Traditional Medical Formulae
基金 国家科技支撑计划课题(2007BAI10B01) 北京市自然科学基金课题(7112075) 北京市中医药科技发展基金课题(JJ-2010-70) 北京中医药大学科研创新团队项目(2011-CXTD-14) 北京中医药大学自主课题(JYB22-JS020)
关键词 颜正华 胸痹 关联规则 聚类算法 YAN Zheng-hua chest pain association rules clustering algorithm
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