Survival prediction in intensive-care units based on aggregation of long-term disease history and acute physiology: a retrospective study of the Danish National Patient Registry and electronic patient records

Survival prediction in intensive-care units based on aggregation of long-term disease history and acute physiology: a retrospective study of the Danish National Patient Registry and electronic patient records

Summary: Background: Intensive-care units (ICUs) treat the most critically ill patients, which is complicated by the heterogeneity of the diseases that they encounter. Severity scores based mainly on acute physiology measures collected at ICU admission are used to predict mortality, but are non-spe...

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Bibliographic Details
Main Authors: Annelaura B Nielsen, PhD, Hans-Christian Thorsen-Meyer, MD, Kirstine Belling, PhD, Anna P Nielsen, MD, Cecilia E Thomas, PhD, Piotr J Chmura, MSc, Mette Lademann, PhD, Pope L Moseley, ProfMD, Marc Heimann, MSc, Lars Dybdahl, MSc, Lasse Spangsege, MSc, Patrick Hulsen, BSc, Anders Perner, ProfPhD, Søren Brunak, ProfPhD
Format: Article
Language:English
Published: Elsevier 2019-06-01
Series:The Lancet: Digital Health
Online Access:http://www.sciencedirect.com/science/article/pii/S258975001930024X

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http://www.sciencedirect.com/science/article/pii/S258975001930024X

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