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Discrete-time survival analysis in the critically ill: a deep learning approach using heterogeneous data by Hans-Christian Thorsen-Meyer, Davide Placido, Benjamin Skov Kaas-Hansen, Anna P. Nielsen, Theis Lange, Annelaura B. Nielsen, Palle Toft, Jens Schierbeck, Thomas Strøm, Piotr J. Chmura, Marc Heimann, Kirstine Belling, Anders Perner, Søren Brunak
Published 2022-09-01
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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 an... by 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
Published 2019-06-01
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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 by 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
Published 2020-04-01
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