Generalizable deep temporal models for predicting episodes of sudden hypotension in critically ill patients: a personalized approach

Generalizable deep temporal models for predicting episodes of sudden hypotension in critically ill patients: a personalized approach

Abstract The vast quantities of data generated and collected in the Intensive Care Unit (ICU) have given rise to large retrospective datasets that are frequently used for observational studies. The temporal nature and fine granularity of much of the data collected in the ICU enable the pursuit of pr...

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Autores principales: Brandon Chan, Brian Chen, Alireza Sedghi, Philip Laird, David Maslove, Parvin Mousavi
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2020
Materias:
Medicine
R
Science
Q
Acceso en línea:https://doaj.org/article/4fff9556148740bcbd4c95666c95345e
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