关联规则分析在药品摆放管理中的应用  

Application of Association Rules Analysis in Drug Placement Management

作　　者：李珊珊 王芳绪 靳浩堂 刘永波(指导) 柳明丽 LI Shan-shan;WANG Fang-xu;JIN Hao-tang;LIU Yong-bo;LIU Ming-li(School of Electric and Information Engineering,Laoning Institute of Science and Technology,Benxi,Liaoning 117004 China)

机构地区：[1]辽宁科技学院电气与信息工程学院,辽宁本溪117004

出　　处：《辽宁科技学院学报》2020年第3期7-8,共2页Journal of Liaoning Institute of Science and Technology

基　　金：2020年辽宁科技学院大学生创新创业训练计划项目(202011430025).

摘　　要：关联分析是数据挖掘的任务之一,关联分析的目的是找出数据库中隐藏的关联网。文章基于灰色关联算法对某三甲医院肾脏内科针剂类单元药品进行数据挖掘,将挖掘到的规则结果应用到该单元药品摆放中,达到优化药品摆放系统,提高药品取放效率的目的。Association analysis is one of the tasks of data mining.The purpose of association analysis is to find the connections hidden in the database.Based on the grey relational algorithm,we use data mining on the injection-type unit drugs in the nephrology department of a third-level grade-A hospital.Moreover,the mining rule results are applies to the drug placement in this unit,so as to optimize the drug placement system and improve the drug retrieval and release efficiency.

关 键 词：数据挖掘 关联规则 灰色关联分析 关联度 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论]