摘要
本文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,最终装载入数据库,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,找出本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。
This paper mainly focuses on the application of data mining in rational medication in clinic. Namely, self-developed software was used to extract, cleanse, transform data, then the data was stored. By setting the minimum support degree and minimum conifdence, the association rules were obtained and interpreted, thus possible problems of outpatient medication were found out. The ifnal results were applied to the management of rational medication, in order to reduce the ifnancial burden on patients.
出处
《中国医疗设备》
2014年第4期48-50,共3页
China Medical Devices
基金
南通市科技局计划项目(HS12959)
关键词
数据挖掘
门诊合理用药
关联规则
数据预处理
data mining
rational medication in clinic
association rules
data preprocessing
