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

BACKGROUND: Timely 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 risk of outcomes related...

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Detalles Bibliográficos
Autores principales: Muralitharan, Sankavi, Nelson, Walter, Di, Shuang, McGillion, Michael, Devereaux, PJ, Barr, Neil Grant, Petch, Jeremy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7892287/
https://www.ncbi.nlm.nih.gov/pubmed/33538696
http://dx.doi.org/10.2196/25187

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7892287/
https://www.ncbi.nlm.nih.gov/pubmed/33538696
http://dx.doi.org/10.2196/25187

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