Evaluating record history of medical devices using association discovery and clustering techniques
作者：
Highlights：
• The association discovery revealed problems in users’ training.
• Clustering technique uncovered the main causes of equipment’s failures.
• The service requests ratio average dropped dramatically from 6.4 to 0.4 under the analyzed period.
摘要
•The association discovery revealed problems in users’ training.•Clustering technique uncovered the main causes of equipment’s failures.•The service requests ratio average dropped dramatically from 6.4 to 0.4 under the analyzed period.
论文关键词：Data mining,Biomedical engineering,Clinical engineering,Outsourced services,Maintenance and engineering,Hospital,Operations research,Clustering analysis
论文评审过程：Available online 26 March 2013.
论文官网地址：https://doi.org/10.1016/j.eswa.2013.03.034
