基于数据挖掘技术的门诊合理用药分析  

Rational Medication Based on Data Mining

作　　者：韩蓉[1] 吴俊[1] 

机构地区：[1]南通市肿瘤医院信息科,江苏南通266000

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)

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.

关 键 词：数据挖掘 门诊合理用药 关联规则 数据预处理 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论] R197.324[自动化与计算机技术—计算机科学与技术]