Change-Point Detection Method for Clinical Decision Support System Rule Monitoring.
Change-Point Detection Method for Clinical Decision Support System Rule Monitoring.
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DOI：
10.1007/978-3-319-59758-4_14
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发表时间：
2017-06
期刊：
影响因子：
--
通讯作者：
Hauskrecht M
中科院分区：
文献类型：
--
作者：
Liu S;Wright A;Hauskrecht M
临床决策支持系统（CDSS）及其组件可能由于各种原因而发生故障。监控系统并检测其故障可以帮助避免任何潜在的错误和相关成本。在本文中，我们调查的问题，检测CDSS操作中的变化，特别是其监测和报警子系统，通过监测其规则射击计数。检测应该在线执行，也就是说，每当一个新的数据到达时，我们希望有一个分数来指示系统中发生变化的可能性。我们开发了一种新的方法，基于季节趋势分解和似然比统计检测的变化。对真实的数据和模拟数据的实验表明，与现有的变点检测方法相比，该方法具有较低的检测延迟。
A clinical decision support system (CDSS) and its components can malfunction due to various reasons. Monitoring the system and detecting its malfunctions can help one to avoid any potential mistakes and associated costs. In this paper, we investigate the problem of detecting changes in the CDSS operation, in particular its monitoring and alerting subsystem, by monitoring its rule firing counts. The detection should be performed online, that is whenever a new datum arrives, we want to have a score indicating how likely there is a change in the system. We develop a new method based on Seasonal-Trend decomposition and likelihood ratio statistics to detect the changes. Experiments on real and simulated data show that our method has a lower delay in detection compared with existing change-point detection methods.
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影响因子：
4.5
作者：
Hauskrecht, Milos;Batal, Iyad;Hong, Charmgil;Quang Nguyen;Cooper, Gregory F.;Visweswaran, Shyam;Clermont, Gilles
通讯作者：
Clermont, Gilles
影响因子：
3.4
作者：
TSAY, RS
通讯作者：
TSAY, RS
影响因子：
1.9
作者：
BARTLETT, MS
通讯作者：
BARTLETT, MS
影响因子：
3.7
作者：
CHEN, C;LIU, LM
通讯作者：
LIU, LM
影响因子：
4.5
作者：
Fryzlewicz, Piotr
通讯作者：
Fryzlewicz, Piotr