A minimal set of physiomarkers in continuous high frequency data streams predict adult sepsis onset earlier

Volume: 122, Pages: 55 - 62
Published: Feb 1, 2019
Abstract
Sepsis is a life-threatening condition with high mortality rates and expensive treatment costs. To improve short- and long-term outcomes, it is critical to detect at-risk sepsis patients at an early stage. A data-set consisting of high-frequency physiological data from 1161 critically ill patients was analyzed. 377 patients had developed sepsis, and had data at least 3 h prior to the onset of sepsis. A random forest classifier was trained to...
Paper Details
Title
A minimal set of physiomarkers in continuous high frequency data streams predict adult sepsis onset earlier
Published Date
Feb 1, 2019
Volume
122
Pages
55 - 62
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