基于关联规则和复杂系统熵聚类的杨牧祥教授治疗慢性胃炎用药规律的研究

Prescription Rules of Professor Yang Muxiang in Treatment of Chronic Gastritis Based on Asocciation Rules and Complex System Entropy Clustering

目的:探讨杨牧祥教授治疗慢性胃炎的用药规律。方法:基于中医传承辅助系统软件,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,分析处方中药物的使用频次及药物之间的关联规则、处方规律,探讨杨牧祥教授治疗慢性胃炎的用药经验。结果:得出杨牧祥教授治疗慢性胃炎频次最高的7味中药,以及常用药组和核心药物。结论:基于中医传承辅助系统平台对名老中医辨治经验的挖掘,获得了既往传统医案整理和统计学研究未获得的新知识、新信息,为杨牧祥教授慢性胃炎治疗的深入挖掘和传承提供了有价值的参考。

Objective： To investigate the prescription rules of Professor YANG Mu-xiang in treatment of chronic gastritis. Method： Based on the Traditional Chinese Medicine Inheritance Support System, some data mining methods without supervision, such as asocciation rules Apriori algoritlma, complex system entropy clustering,were used to analyze the use frequency of herbs in the prescriptions as well as the asocciation rules and prescription laws between various herbs,and discuss the prescription experience of professor YANG Mu-xiang in treatment of chronic gastritis. Result： Seven Chinese herbs with highest use frequency, common herb combinations and core herbs in Professor YANG Mu-xiang＇s prescriptions for chronic gastritis were obtained.Conclusion： Based on the exploration of veteran doctors＇ experience in traditional Chinese medicine treatment on the Traditional Chinese Medicine Inheritance Support System Platform, new knowledge and information except those in previous traditional medical records collation and statistical research was obtained in this study,which can provide valuable reference for the further exploring and inheritance of professor YANG Mu-xiang＇s treatment of chronic gastritis.