决策树技术在医院住院客户划分中的应用  

Decision Tree Technology Application in the Clients Division of Hospital

作　　者：罗强 

机构地区：[1]广东省电子职业技术学校,广州510515

出　　处：《计算机光盘软件与应用》2011年第16期176-177,共2页Computer CD Software and Application

摘　　要：本文以省妇幼保健院历史的住院业务数据为样本，通过数据挖掘的决策树建模方法建立其住院客户的划分模型，得到分类规则，在此基础上将住院客户划分为不同的群体。通过对客户的划分及其特征分析，医院可清楚的了解重点客户并给予重点客户群体以按需要定制的个性化服务，这将极大提升这部分客户的忠诚度和满意度，从而确保医院主流利润和收入来源的长期性和稳定性。The history of the provincial MCH hospital business data as a sample,through data mining decision tree modeling method to build their hospital customers into the model,to get classification rules,on this basis,the customer will be divided into different patient groups.Through the division of customers and characteristics analysis,the hospital can be a clear understanding of key customers and key customer groups to provide customized according to need personalized service,which will greatly enhance this part of the customer loyalty and satisfaction,to ensure the hospital mainstream profits and long-term source of income and stability.

关 键 词：数据挖掘 决策树 客户划分 建模 

分 类 号：TP392[自动化与计算机技术—计算机应用技术]