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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: Based on the data mining technology, the keratitis prescriptions of different generations were clustered to provide enlightenment and train of thought for clinical keratitis prescriptions. Methods: Collecting 334 prescriptions of keratitis from the Jin Dynasty to the beginning of this century, entered the database, and clustered analysis of the drug use to explore the prescription of prescription. Results: 26 groups of keratitis clustering drug groups were excavated, and its characteristics of drug use were analyzed as follows: Quxie usually used heat, wind, dampness, retreat, detoxification, cooling blood, clearing liver, ; Fuzheng to eyesight, kidney, yin, liver and other law. Conclusions: Using cluster analysis, we can classify the drugs well and guide the clinical medication according to the trend of the drugs. The results objectively reflect the regularity of keratitis medication, which provides a new idea for the standardization of keratitis.