基于关联规则的中医皮肤科用药规律探析  

Analysis of the law of TCM treatment on dermatology based on association rules

作　　者：肖洁 冒宇清 李新霞[1] Xiao Jie;Mao Yuqing;Li Xinxia(Nanjing University of Chinese Medicine,Nanjing 210023,China)

机构地区：[1]南京中医药大学信息技术学院,江苏南京210023

出　　处：《无线互联科技》2018年第14期109-110,共2页Wireless Internet Technology

基　　金：大学生创新训练计划国家级项目;项目名称:面向中医药信息的数据预处理系统;项目编号:201610315032Z

摘　　要：数据挖掘是知识发现过程中的重要步骤,中医药数据挖掘是目前一个热门的研究方向。文章探讨了关联规则方法中经典的Apriori算法在中医药数据挖掘中的应用,初步发现中医治疗皮肤科疾病常用方剂中的最主要中药,对中医临床治疗皮肤科疾病具有一定的参考意义。Data mining is an important step in the process of knowledge discovery. Currently TCM data mining is one of the most popular research directions. This paper discusses the application of the classic association rule approach the Apriori algorithm in TCM data mining. The most important herbal medicine in popular Chinese medicinal formulas for the treatment of dermatological diseases has been found, which can be used for references in TCM clinical treatment of dermatological diseases.

关 键 词：数据挖掘 APRIORI 中医皮肤科 频繁项集 

分 类 号：R275[医药卫生—中医皮科] TP311.13[医药卫生—中医学]