Dynamic and explainable machine learning prediction of mortality in patients in the intensive care unit: a retrospective study of high-frequency data in electronic patient records

Dynamic and explainable machine learning prediction of mortality in patients in the intensive care unit: a retrospective study of high-frequency data in electronic patient records

Summary: Background: Many mortality prediction models have been developed for patients in intensive care units (ICUs); most are based on data available at ICU admission. We investigated whether machine learning methods using analyses of time-series data improved mortality prognostication for patien...

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Main Authors: Hans-Christian Thorsen-Meyer, MD, Annelaura B Nielsen, PhD, Anna P Nielsen, MD, Benjamin Skov Kaas-Hansen, MD, Palle Toft, ProfDMSc, Jens Schierbeck, MD, Thomas Strøm, PhD, Piotr J Chmura, MSc, Marc Heimann, BSc, Lars Dybdahl, MSc, Lasse Spangsege, MSc, Patrick Hulsen, BSc, Kirstine Belling, PhD, Søren Brunak, ProfPhD, Anders Perner, ProfPhD
Format: Article
Language:English
Published: Elsevier 2020-04-01
Series:The Lancet: Digital Health
Online Access:http://www.sciencedirect.com/science/article/pii/S2589750020300182

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http://www.sciencedirect.com/science/article/pii/S2589750020300182

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