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
Hans‐Christian Thorsen‐Meyer(University of Copenhagen), Anders Perner(Unknown), Annelaura Bach Nielsen(University of Copenhagen), Marc Heimann(Hochschule Niederrhein), Lasse Spangsege, Thomas Strøm(University of Southern Denmark), Piotr Jaroslaw Chmura(University of Copenhagen), Lars Dybdahl, Benjamin Skov Kaas‐Hansen(Copenhagen University Hospital), Jens Schierbeck(University of Southern Denmark), Kirstine Belling(University of Copenhagen), Patrick Hulsen, Palle Toft(University of Southern Denmark), Anna Pors Nielsen(University of Copenhagen), Søren Brunak(University of Copenhagen)
Cited by 328
Related Papers
Enterotypes of the human gut microbiome
|Nature|2011|7.6k
Surviving Sepsis Campaign: International Guidelines for Management of Sepsis and Septic Shock: 2016
|Intensive Care Medicine|2017|6.8k
Richness of human gut microbiome correlates with metabolic markers
|Nature|2013|4.7k
Surviving Sepsis Campaign: International Guidelines for Management of Sepsis and Septic Shock: 2016
|Critical Care Medicine|2017|3.8k