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Paper Details

Development and validation of a reinforcement learning algorithm to dynamically optimize mechanical ventilation in critical care.
NPJ Digit Med
29
2021
critically ill, oxygen, patient, patients
Author NameAffiliation
Arne PeineUniversity Hospital RWTH Aachen
Ahmed HallawaUniversity Hospital RWTH Aachen
Ahmed HallawaRWTH Aachen University
Johannes BickenbachUniversity Hospital RWTH Aachen
Guido DartmannTrier University of Applied Sciences
Lejla Begi??Trier University of Applied Sciences
Anke SchmeinkRWTH Aachen University
Gerd AscheidRWTH Aachen University
Christoph ThiemermannWilliam Harvey Research Institute, Queen Mary University London
Andreas SchuppertJoint Research Center for Computational Biomedicine, RWTH Aachen University
Andreas SchuppertJoint Research Center for Computational Biomedicine, RWTH Aachen University
Ryan Kindle
Ryan KindleBeth Israel Deaconess Medical Center
Leo Anthony Celi
Leo Anthony CeliBeth Israel Deaconess Medical Center
Leo Anthony CeliChan School of Public Health
Gernot MarxUniversity Hospital RWTH Aachen
Lukas MartinUniversity Hospital RWTH Aachen
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