摘要
随着医院信息系统的快速发展,为医院带来了海量数据。对这些数据的有效利用、分析,挖掘其中隐含的信息,能为医院管理提供更好的决策支持。但如何从医院信息化进程中产生的海量多源异构数据中甄选出高质量数据,是医疗数据挖掘分析首当其冲的问题。文章在尽量不影响医院现有系统的基础上,利用数据中间件的形式,对多源异构数据进行清洗转换,为上层应用提供标准数据集。
The rapid development of information system has brought huge amounts of data for hospital. The effective use, analysis and mining implicit information of these data, can provide better decision support for hospital management. But how to select high quality data from the massive, multi-source and heterogeneous data in the process of hospital informatization is the most important problem in the field of medical data analysis and mining. This paper is trying to make use of the form of data middleware to clean and convert these multi-source heterogeneous data, and provide standard data set for the upper application on the basis of not changing the existing system in the hospital.
出处
《中国卫生信息管理杂志》
2017年第2期197-200,204,共5页
Chinese Journal of Health Informatics and Management
基金
云南省应用基础研究(项目编号:2014FZ063)
关键词
多源异构数据
模式匹配
增量整合
Multi-source heterogeneous data
Schema matching
Incremental integrating
