摘要
目的:基于数据挖掘技术,对历代角膜炎方药进行聚类分析,为临床角膜炎组方用药提供启发和思路。方法:收集自晋代至本世纪初角膜炎治疗方剂334首,录入数据库、对其用药进行聚类分析,探索组方用药规律。结果:挖掘出26组角膜炎聚类药物群,分析其用药特点为:祛邪常以清热、疏风、利湿、退翳、解毒、凉血、清肝、平肝、熄风等为法;扶正以明目、补肾、滋阴、养肝等为法。结论:运用聚类分析法,能较好地将药物归类,并依据药物作用趋势指导临床用药,研究结果客观反映了角膜炎用药规律,为角膜炎规范化治疗研究提供了思路。
Objective: In order to provide inspiration and methods for clinical keratitis prescription,using cluster analysis of past dynasties' keratitis recipes based on data mining technology. Method: Three hundred and thirty four pieces of prescriptions treating of keratitis, Collected from the jin dynasty to the beginning of this century are entered into database for cluster analysis of their medication and prescription drug laws. Result: The drug characteristics of eliminating evil by clearing heat, dispelling wind, removing dampness, dissolve shade, detoxification, cooling blood, soothing the liver, calming wind, and strengthening body by improving eyesight, nourishing kidney, adding yin, nourishing the liver are concluded form 26 groups of keratitis drug clusters explored. Conclusion: By the use of cluster analysis, traditional Chinese drugs can be well classified according to the trend of drug action to guide clinical medication. The findings objectively reflect the keratitis drug laws and provide a guideline for keratitis standardized treatment research.
出处
《中国实验方剂学杂志》
CAS
北大核心
2014年第2期204-206,共3页
Chinese Journal of Experimental Traditional Medical Formulae
基金
山东省中医药科技发展计划项目(2011-076)
关键词
角膜炎
方药
聚类分析
keratitis
recipe
clustering analysis