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  • 标题:Application of Improved Decision Tree Method based on Rough Set in Building Smart Medical Analysis CRM System
  • 本地全文:下载
  • 作者:Hongsheng Xu ; Lan Wang ; Wenli Gan
  • 期刊名称:International Journal of Smart Home
  • 印刷版ISSN:1975-4094
  • 出版年度:2016
  • 卷号:10
  • 期号:1
  • 页码:251-266
  • DOI:10.14257/ijsh.2016.10.1.23
  • 出版社:SERSC
  • 摘要:Medical Customer Relationship Management (CRM) is a kind of study method for the patient and potential patient carries on the exchange, timely access to and convey information, tracking to give the necessary guidance. The purpose of community hospital CRM is the daily business management and decision analysis of the hospital with the relationship between doctors and patients. Decision tree learning is an inductive learning algorithm based example. Rough set theory is used to process uncertain and imprecise information. In this paper, a decision tree algorithm based on rough set is proposed, and the improved decision tree algorithm based on rough classification is better than the standard C4.5 algorithm in classification accuracy and regression rate by experiment. Finally, the improved decision tree method is applied to the smart medical analysis CRM system. The experimental results show that the method can improve the management efficiency of CRM.
  • 关键词:Customer Relationship Management; Decision tree; Rough set; Smart ; medical treatment; Attribute reduction
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