Machine Learning–Based Early Warning Systems for Clinical Deterioration: Systematic Scoping Review

BackgroundTimely identification of patients at a high risk of clinical deterioration is key to prioritizing care, allocating resources effectively, and preventing adverse outcomes. Vital signs–based, aggregate-weighted early warning systems are commonly used to predict the ri...

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Bibliographic Details
Main Authors: Muralitharan, Sankavi, Nelson, Walter, Di, Shuang, McGillion, Michael, Devereaux, PJ, Barr, Neil Grant, Petch, Jeremy
Format: Article
Language:English
Published: JMIR Publications 2021-02-01
Series:Journal of Medical Internet Research
Online Access:https://www.jmir.org/2021/2/e25187