[HTML][HTML] Development and validation of a reinforcement learning algorithm to dynamically optimize mechanical ventilation in critical care
The aim of this work was to develop and evaluate the reinforcement learning algorithm
VentAI, which is able to suggest a dynamically optimized mechanical ventilation regime for …
VentAI, which is able to suggest a dynamically optimized mechanical ventilation regime for …
Development and validation of a reinforcement learning algorithm to dynamically optimize mechanical ventilation in critical care.
A Peine, A Hallawa, J Bickenbach, G Dartmann… - NPJ Digital …, 2021 - europepmc.org
The aim of this work was to develop and evaluate the reinforcement learning algorithm
VentAI, which is able to suggest a dynamically optimized mechanical ventilation regime for …
VentAI, which is able to suggest a dynamically optimized mechanical ventilation regime for …
[PDF][PDF] Development and validation of a reinforcement learning algorithm to dynamically optimize mechanical ventilation in critical care
A Peine, A Hallawa, J Bickenbach, G Dartmann… - scholar.archive.org
Despite intense efforts in basic and clinical research, an individualized ventilation strategy
for critically ill patients remains a major challenge 1. If not applied adequately, suboptimal …
for critically ill patients remains a major challenge 1. If not applied adequately, suboptimal …
Development and validation of a reinforcement learning algorithm to dynamically optimize mechanical ventilation in critical care.
A Peine, A Hallawa, J Bickenbach… - NPJ Digital …, 2021 - qmro.qmul.ac.uk
The aim of this work was to develop and evaluate the reinforcement learning algorithm
VentAI, which is able to suggest a dynamically optimized mechanical ventilation regime for …
VentAI, which is able to suggest a dynamically optimized mechanical ventilation regime for …
Development and validation of a reinforcement learning algorithm to dynamically optimize mechanical ventilation in critical care
P Arne, H Ahmed, B Johannes, D Guido… - NPJ Digital …, 2021 - search.proquest.com
The aim of this work was to develop and evaluate the reinforcement learning algorithm
VentAI, which is able to suggest a dynamically optimized mechanical ventilation regime for …
VentAI, which is able to suggest a dynamically optimized mechanical ventilation regime for …
Development and validation of a reinforcement learning algorithm to dynamically optimize mechanical ventilation in critical care
A Peine, A Hallawa, J Bickenbach… - NPJ digital …, 2021 - pubmed.ncbi.nlm.nih.gov
The aim of this work was to develop and evaluate the reinforcement learning algorithm
VentAI, which is able to suggest a dynamically optimized mechanical ventilation regime for …
VentAI, which is able to suggest a dynamically optimized mechanical ventilation regime for …
Development and validation of a reinforcement learning algorithm to dynamically optimize mechanical ventilation in critical care.
A Peine, A Hallawa, J Bickenbach… - NPJ Digital …, 2021 - search.ebscohost.com
The aim of this work was to develop and evaluate the reinforcement learning algorithm
VentAI, which is able to suggest a dynamically optimized mechanical ventilation regime for …
VentAI, which is able to suggest a dynamically optimized mechanical ventilation regime for …
[HTML][HTML] Development and validation of a reinforcement learning algorithm to dynamically optimize mechanical ventilation in critical care
A Peine, A Hallawa, J Bickenbach… - NPJ Digital …, 2021 - ncbi.nlm.nih.gov
The aim of this work was to develop and evaluate the reinforcement learning algorithm
VentAI, which is able to suggest a dynamically optimized mechanical ventilation regime for …
VentAI, which is able to suggest a dynamically optimized mechanical ventilation regime for …
[PDF][PDF] Development and validation of a reinforcement learning algorithm to dynamically optimize mechanical ventilation in critical care
A Peine, A Hallawa, J Bickenbach, G Dartmann… - academia.edu
Despite intense efforts in basic and clinical research, an individualized ventilation strategy
for critically ill patients remains a major challenge 1. If not applied adequately, suboptimal …
for critically ill patients remains a major challenge 1. If not applied adequately, suboptimal …