基于模糊聚类方法分析干祖望教授诊治耳鸣耳聋疾病群方特色  被引量:10

Study on Specialized Treatment Experience for Ear Disease of Professor GAN Zu-wang by Method of Fuzzy Clustering Analysis and Frequent Pattern Tree

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作  者:李文林[1] 陈涤平[1] 曾莉[1] 陆建峰[2] 

机构地区:[1]南京中医药大学中医学一级学科,南京210046 [2]南京理工大学计算机系,南京210094

出  处:《中国实验方剂学杂志》2012年第23期4-8,共5页Chinese Journal of Experimental Traditional Medical Formulae

基  金:江苏高校优势学科建设工程项目;南京中医药大学中医学一级学科开放课题(YS2012ZYX308)

摘  要:目的:对干祖望教授诊治耳鸣耳聋疾病的处方特点进行分析。方法:从公开资料中选取干祖望教授治疗耳鸣耳聋的病案处方共101例,运用模糊聚类及频繁模式增长算法,分析挖掘其处方核心药群,并通过药物构成、药群功效与临床公认的常用基本方的相似度匹配,对不同药群中含有的基本方机构进行识别。结果:101个处方共分为9个药群,识别出11个基本方。其中补中益气汤、四君子汤及八珍汤的组方结构在全部处方中所占比例最大。结论:干祖望教授辨证治疗耳病多从调理脾胃、补益气血入手。数据挖掘结果能从一个侧面提示从脾胃论治耳病是干祖望教授病案处方的基本特色。Objective: To analyse the effective combination drugs of GAN Zu-wang formulae in preventing and treating the ear disease. Method: One hundred and one formulas were selected from the public documents about professor GAN Zu-wang, the fuzzy clustering and frequent pattern tree algorithm were used to analyse the core medicine groups and the basic formulas by similarity matching in medicine efficacy and composition. Result: One hundred and one prescriptions were divided into 9 medicine groups, 11 basic formulas were recognized, and the mainly formulas were those for regulating spleen-stomach and benefiting qi-xie such as Bu-zhong-yi-qi-tang, Si-jun-zi-tang and Ba-zheng-tang. Conclusion: Regulating spleen and stomach was professor GAN Zu-wang' s specialized treatment experience for ear disease, the method of data mining could provide interesting rules for understanding the academic thoughts of the famous and respected doctor of traditional Chinese medicine.

关 键 词:模糊聚类 频繁模式 干祖望 耳鸣耳聋疾病方药分析 

分 类 号:R287[医药卫生—中药学]

 

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