标题:Mining the changes of concurrencies in checkup data
作者:Wang, Wei ;Wu, Yaohua
作者机构:[Wang, Wei ] School of Control Science and Engineering, Shandong University, Jinan, Shandong, China;[Wang, Wei ;Wu, Yaohua ] School of Management, Sha 更多
通讯作者:Wang, W
来源:International Journal of Digital Content Technology and its Applications
出版年:2011
卷:5
期:7
页码:52-58
DOI:10.4156/jdcta.vol5.issue7.7
关键词:Change mining; Change pattern; Data mining
摘要:More and more medical insurance institutes employ historical medical data as a guide tool, but it is hardly to understand the trends over the time. In the dynamic environment, understanding changes of the datasets can help health care institutions to grasp the basic trends of concurrencies, establish effective measurement of health interventions, and formulate rational decisions. Thus, it is essential to develop change mining methods for efficient mining in medical databases. In this paper, we adopted a methodology which detects changes of concurrencies from medical checkup databases at different periods. After the notion of change patterns and the similarity and unexpectness factors, we adjust the method of determine RMT, which is not determined by empirical as usual, and simplify the criterions of change patterns according the specific situation in checkup databases. Our empirical evaluation shows that the discovered changes can represent the trends in the dynamic environment correctly.
收录类别:EI;SCOPUS
Scopus被引频次:2
资源类型:期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-79961094112&doi=10.4156%2fjdcta.vol5.issue7.7&partnerID=40&md5=516699081f10e316ae766591ff9bf251
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