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Taking meredith out of Grey's anatomy: Automating hospital ICU emergency signaling

机译:使Meredith脱离Grey的解剖结构:自动化医院ICU紧急信号

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In this paper we propose a new algorithm based on kernel machines for automatic, instantaneous detection of emergencies occurring in a hospital Intensive Care Unit. The proposed algorithm takes as input the multitude of vital statistics that are continuously monitored for a critical patient in Intensive Care, learns the underlying pattern between the statistics that is naturally inherent for the particular patient, and instantaneously signals any deviation from this pattern. Through application to real data from a cardiac Intensive Care Unit at a hospital in a developing country, we show that it is possible to easily obtain high detection accuracy with low false alarm rates.
机译:在本文中,我们提出了一种基于内核机器的新算法,用于自动,即时检测医院重症监护病房中发生的紧急情况。所提出的算法将对重症监护中危重患者进行连续监测的大量生命统计数据作为输入,了解特定患者自然固有的统计数据之间的基本模式,并立即发出任何偏离该模式的信号。通过应用来自发展中国家一家医院的心脏重症监护病房的真实数据,我们表明可以以较低的误报率轻松获得高检测精度。

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