【摘要】 医院感染是目前各级医院存在的一个突出公共卫生问题,也是多年来各级医院拟解决的难题[1]。在介绍医院感染的基本知识的基础上,分析和研究了粗糙集与决策树两种常用的数据挖掘工具,并将它们进行融合,运用到医院感染的诊断中。实验结果验证了此算法的可行性和有效性,为医院感染的诊断提供了一种新的研究思路和分析方法。更多还原

【Abstract】 At present,hospital infection is a prominent public health question which exists in all levels of hospitals,and also is a difficult problem which for many years all levels of hospitals have planned to solve.This paper introduced the elementary knowledge about hospital infection,analyzed and studied rough set and decision tree which are two kinds of commonly used data mining tools,applied them to the hospital infection diagnosis,and carried on the analysis through 100 hospitals infections data,provided a new kind of thinking or method for the hospital infection diagnosis.更多还原