Artificial neural networks improve and simplify intensive care mortality prognostication: a national cohort study of 217,289 first-time intensive care unit admissions

Artificial neural networks improve and simplify intensive care mortality prognostication: a national cohort study of 217,289 first-time intensive care unit admissions

Abstract Purpose We investigated if early intensive care unit (ICU) scoring with the Simplified Acute Physiology Score (SAPS 3) could be improved using artificial neural networks (ANNs). Methods All first-time adult intensive care admissions in Sweden during 2009–2017 were included. A test set was s...

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Bibliographic Details
Main Authors: Gustav Holmgren, Peder Andersson, Andreas Jakobsson, Attila Frigyesi
Format: Article
Language:English
Published: BMC 2019-08-01
Series:Journal of Intensive Care
Subjects:
Machine learning
Artificial intelligence
Artificial neural networks
Intensive care
Critical care
Mortality
Online Access:http://link.springer.com/article/10.1186/s40560-019-0393-1

Internet

http://link.springer.com/article/10.1186/s40560-019-0393-1

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