【摘要】 目的基于中医传承辅助系统软件(V 2.50),总结聂惠民教授治疗胃脘痛的用药经验。方法收集聂教授治疗胃脘痛的医案,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,总结聂教授治疗胃脘痛的用药经验。结果对筛选出的266首处方进行分析,确定处方中使用频次较高的药物有柴胡、龙骨、牡蛎、黄芩、黄芪、法半夏、党参等,依据药物之间的关联规则,挖掘出党参、白术、茯苓等14个核心组合和党参、白术、茯苓、百合等7首新处方。结论聂教授治疗胃脘痛经验丰富,善用柴胡龙骨牡蛎、小柴胡汤等经方,多用解"郁"之品。更多还原

【Abstract】 Objective Inheritance of traditional Chinese medicine auxiliary system software( V 2. 50)was used to conclude professor NIE Huimin’s experience on epigastric pain. Methods Professor NIE Huimin’s medical cases of epigastric pain were collected,and unsupervised data mining methods such as apriori algorithm of asocciation rules and complex system entropy clustering were used to determine herbs frequency and the association rules of herbs used thus to conclude professor NIE’s experience on epigastric pain. Results 206 prescriptions were analyzed,the most frequent herbs were Chaihu,Longgu,Muli,Huangqin,Huangqi,Fabanxia,Dangshen,etc. According to apriori algorithm of herbs,14 core combinations were determined,such as Dangshen,Baizhu,Fuling,etc. And 7 new prescriptions were found out. Conclusions Professor NIE has rich experience on epigastric pain,and she makes best use of classical prescriptions such as Chaihu Longgu Muli Decoction and Xiao Chaihu Decoction,more herbs with the function of relieving qi stagnation are used.更多还原