Change-Point Detection for Monitoring Clinical Decision Support Systems with a Multi-Process Dynamic Linear Model.
Change-Point Detection for Monitoring Clinical Decision Support Systems with a Multi-Process Dynamic Linear Model.
复制标题
使用多进程动态线性模型监测临床决策支持系统的变化点检测。
DOI：
10.1109/bibm.2017.8217712
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发表时间：
2017
期刊：
影响因子：
--
通讯作者：
Hauskrecht,Milos
中科院分区：
文献类型：
--
作者：
Liu,Siqi;Wright,Adam;Sittig,DeanF;Hauskrecht,Milos
临床决策支持系统及其组件可能由于不同的原因而发生故障。这项工作的目的是开发计算方法，可以帮助我们监控系统，并通过及时检测和分析其行为的变化来确保其正常运行。提出了一种基于多过程动态线性模型的变点检测方法。对真实的数据和模拟数据的实验表明，该方法优于现有的变点检测方法，具有更高的检测精度和更短的检测延迟。
A clinical decision support system and its components may malfunction due to different reasons. The objective of this work is to develop computational methods that can help us to monitor the system and assure its proper operation by promptly detecting and analyzing changes in its behavior. We develop a new change-point detection method using the Multi-Process Dynamic Linear Model. The experiments on real and simulated data show that our method outperforms existing change-point detection methods, leading to higher accuracy and shorter delay in the detection.