基于数据挖掘技术的门诊合理用药分析

主要研究将数据挖掘技术应用于门诊合理用药分析中，采用自主研发的软件抽取、清理、转换数据、最终装载入库，通过设置最小支持度与最小可信度，得到关联规则，并对重要关联规则进行分析解释，找出医院门诊用药可能存在的问题，最终将结果应用于医院合理用药管理中，真正做到减轻患者经济负担，解决人民群众“看病难、看病贵”问题。

Analysis on Rational Outpatient Drug Use Based on the Technology of Data Mining

This paper mainly studies the application of data mining technology on the rational medication in clinic analysis, we developed software to cleaning, conversion, and finally loading data warehouse. We found the association rules by setting minimum support and minimum confidence, and then explain the important association rules. We apply these results in the clinic analysis of rational drug use in outpatient medication, finds out the possible problems, to alleviate the economic burden of the patients, the people ＂see a doctor difficult, expensive＂.