电脑开发与应用
電腦開髮與應用
전뇌개발여응용
COMPUTER DEVELOPMENT & APPLICATIONS
2014年
1期
60-63,67
,共5页
客户分类%决策树%C5.0算法%Clementine数据挖掘平台
客戶分類%決策樹%C5.0算法%Clementine數據挖掘平檯
객호분류%결책수%C5.0산법%Clementine수거알굴평태
customer classification%decision tree%C5.0 algorithm%Clementine data mining tool
针对医院患者对个性化服务的需求日益强烈，医院无法为新入院患者提供适合的医疗服务的问题，使用测量优先度信息增益率的计算方法，对医院现有住院客户的基本信息分析处理，在Clementine数据挖掘平台使用C5.0算法模型进行数据挖掘，构造了对住院客户价值分类的决策树模型和相应的规则集，经分析评估正确率为89.9%，从而指导医院向患者提供个性化的医疗服务，提高了患者就医的满意度。
針對醫院患者對箇性化服務的需求日益彊烈，醫院無法為新入院患者提供適閤的醫療服務的問題，使用測量優先度信息增益率的計算方法，對醫院現有住院客戶的基本信息分析處理，在Clementine數據挖掘平檯使用C5.0算法模型進行數據挖掘，構造瞭對住院客戶價值分類的決策樹模型和相應的規則集，經分析評估正確率為89.9%，從而指導醫院嚮患者提供箇性化的醫療服務，提高瞭患者就醫的滿意度。
침대의원환자대개성화복무적수구일익강렬，의원무법위신입원환자제공괄합적의료복무적문제，사용측량우선도신식증익솔적계산방법，대의원현유주원객호적기본신식분석처리，재Clementine수거알굴평태사용C5.0산법모형진행수거알굴，구조료대주원객호개치분류적결책수모형화상응적규칙집，경분석평고정학솔위89.9%，종이지도의원향환자제공개성화적의료복무，제고료환자취의적만의도。
In view of the fact that with the increasing strong demand for personalized services for hospital patients,hospitals are unable to provide appropriate medical services for newly admitted patients. According to the Calculation method of Information gain ratio basing measurement priority,by analyzing and processing basic information on the hospital's existing hospital customers and using the C5.0 algorithm model, the hospital customer value classification decision tree model and the corresponding set of rules is construct in the Clementine data mining platform, Its accuracy is 89.9% by the testing and evaluation,the medical treatment of patients satisfaction improve by using it to guide hospitals to provide patients with personalized health services.
