Paul W. G. Elbers

According to our database, Paul W. G. Elbers authored at least 24 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Guideline-informed reinforcement learning for mechanical ventilation in critical care.

Floris den Hengst, Martijn Otten, Paul W. G. Elbers, Frank van Harmelen, Vincent François-Lavet, Mark Hoogendoorn

Artif. Intell. Medicine, January, 2024

2023

Augmented intelligence facilitates concept mapping across different electronic health records.

Tariq A. Dam, Lucas M. Fleuren, Luca F. Roggeveen, Martijn Otten, Laurens Biesheuvel, Ameet R. Jagesar, Robbert C. A. Lalisang, Robert F. J. Kullberg, Tom Hendriks, Armand R. J. Girbes, Mark Hoogendoorn, Patrick J. Thoral, Paul W. G. Elbers

Int. J. Medical Informatics, November, 2023

Prognostic models of in-hospital mortality of intensive care patients using neural representation of unstructured text: A systematic review and critical appraisal.

Iacopo Vagliano, Noman Dormosh, Miguel Rios, Torec T. Luik, T. M. Buonocore, Paul W. G. Elbers, Dave A. Dongelmans, Martijn C. Schut, Ameen Abu-Hanna

J. Biomed. Informatics, October, 2023

Determining and assessing characteristics of data element names impacting the performance of annotation using Usagi.

Rowdy de Groot, Daniel P. Püttmann, Lucas M. Fleuren, Patrick J. Thoral, Paul W. G. Elbers, Nicolette F. de Keizer, Ronald Cornet

Int. J. Medical Informatics, October, 2023

Assessing the FAIRness of databases on the EHDEN portal: A case study on two Dutch ICU databases.

Daniel P. Püttmann, Rowdy de Groot, Nicolette de Keizer, Ronald Cornet, Paul W. G. Elbers, Dave Dongelmans, Ferishta Bakhshi-Raiez

Int. J. Medical Informatics, August, 2023

Generalizable calibrated machine learning models for real-time atrial fibrillation risk prediction in ICU patients.

Jarne Verhaeghe, Thomas De Corte, Christopher M. Sauer, Tom Hendriks, Olivier W. M. Thijssens, Femke Ongenae, Paul W. G. Elbers, Jan J. De Waele, Sofie Van Hoecke

Int. J. Medical Informatics, July, 2023

Yet Another ICU Benchmark: A Flexible Multi-Center Framework for Clinical ML.

Robin Van De Water, Hendrik Schmidt, Paul W. G. Elbers, Patrick Thoral, Bert Arnrich, Patrick Rockenschaub

CoRR, 2023

Improving Generalization in Reinforcement Learning Through Forked Agents.

Olivier Moulin, Vincent François-Lavet, Paul W. G. Elbers, Mark Hoogendoorn

Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Applications, 2023

2022

Assess and validate predictive performance of models for in-hospital mortality in COVID-19 patients: A retrospective cohort study in the Netherlands comparing the value of registry data with high-granular electronic health records.

Iacopo Vagliano, Martijn C. Schut, Ameen Abu-Hanna, Dave A. Dongelmans, Dylan W. De Lange, Diederik Gommers, Olaf L. Cremer, Rob J. Bosman, Sander Rigter, Evert-Jan Wils, Tim Frenzel, Remko de Jong, Marco A. A. Peters, Marlijn J. A. Kamps, Dharmanand Ramnarain, Ralph Nowitzky, Fleur G. C. A. Nooteboom, Wouter de Ruijter, Louise C. Urlings-Strop, Ellen G. M. Smit, D. Jannet Mehagnoul-Schipper, Tom Dormans, Cornelis P. C. de Jager, Stefaan H. A. Hendriks, Sefanja Achterberg, Evelien Oostdijk, Auke C. Reidinga, Barbara Festen-Spanjer, Gert B. Brunnekreef, Alexander D. Cornet, Walter van den Tempel, Age D. Boelens, Peter Koetsier, Judith Lens, Harald J. Faber, Attila Karakus, Robert Entjes, Paul de Jong, Thijs C. D. Rettig, Merijn C. Reuland, M. Sesmu Arbous, Lucas M. Fleuren, Tariq A. Dam, Patrick J. Thoral, Robbert C. A. Lalisang, Michele Tonutti, Daan P. de Bruin, Paul W. G. Elbers, Nicolette F. de Keizer

Int. J. Medical Informatics, 2022

Can we reliably automate clinical prognostic modelling? A retrospective cohort study for ICU triage prediction of in-hospital mortality of COVID-19 patients in the Netherlands.

Iacopo Vagliano, Sylvia Brinkman, Ameen Abu-Hanna, M. Sesmu Arbous, Dave A. Dongelmans, Paul W. G. Elbers, Dylan W. De Lange, Mihaela van der Schaar, Nicolette F. de Keizer, Martijn C. Schut

Int. J. Medical Informatics, 2022

Improving adaptability to new environments and removing catastrophic forgetting in Reinforcement Learning by using an eco-system of agents.

Olivier Moulin, Vincent François-Lavet, Paul W. G. Elbers, Mark Hoogendoorn

CoRR, 2022

Improving generalization to new environments and removing catastrophic forgetting in Reinforcement Learning by using an eco-system of agents.

Olivier Moulin, Vincent François-Lavet, Paul W. G. Elbers, Mark Hoogendoorn

Proceedings of the IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2022

Prediction of Acute Kidney Injury in the Intensive Care Unit: Preliminary Findings in a European Open Access Database.

Michael Fujarski, Christian Porschen, Lucas Plagwitz, Alexander Brenner, Narges Ghoreishi, Patrick Thoral, Harm-Jan de Grooth, Paul W. G. Elbers, Raphael Weiss, Melanie Meersch, Alexander Zarbock, Thilo Caspar von Groote, Julian Varghese

Proceedings of the Challenges of Trustable AI and Added-Value on Health, 2022

Predicting readmission or death after discharge from the ICU: External validation and retraining of a machine learning model.

Anne De Hond, Ilse M. J. Kant, Mattia Fornasa, Giovanni Cinà, Paul W. G. Elbers, Patrick Thoral, M. Sesmu Arbous, Ewout W. Steyerberg

Proceedings of the AMIA 2022, 2022

2021

Out-of-Distribution Detection for Medical Applications: Guidelines for Practical Evaluation.

Karina Zadorozhny, Patrick Thoral, Paul W. G. Elbers, Giovanni Cinà

CoRR, 2021

A pragmatic approach to estimating average treatment effects from EHR data: the effect of prone positioning on mechanically ventilated COVID-19 patients.

Adam Izdebski, Patrick J. Thoral, Robbert C. A. Lalisang, Dean M. McHugh, Robert Entjes, Nardo J. M. van der Meer, Dave A. Dongelmans, Age D. Boelens, Sander Rigter, Stefaan H. A. Hendriks, Remko de Jong, Marlijn J. A. Kamps, Marco A. A. Peters, A. Karakus, Diederik Gommers, Dharmanand Ramnarain, Evert-Jan Wils, Sefanja Achterberg, Ralph Nowitzky, Walter van den Tempel, Cornelis P. C. de Jager, Fleur G. C. A. Nooteboom, Evelien Oostdijk, Peter Koetsier, Alexander D. Cornet, Auke C. Reidinga, Wouter de Ruijter, Rob J. Bosman, Tim Frenzel, Louise C. Urlings-Strop, Paul de Jong, Ellen G. M. Smit, Olaf L. Cremer, Frits H. M. van Osch, Harald J. Faber, Judith Lens, Gert B. Brunnekreef, Barbara Festen-Spanjer, Tom Dormans, Bram Simons, A. A. Rijkeboer, Annemieke Dijkstra, M. Sesmu Arbous, Marcel Aries, Menno Beukema, Rutger van Raalte, Martijn van Tellingen, Niels C. Gritters van den Oever, Paul W. G. Elbers, Giovanni Cinà

CoRR, 2021

Transatlantic transferability of a new reinforcement learning model for optimizing haemodynamic treatment for critically ill patients with sepsis.

Luca F. Roggeveen, Ali el Hassouni, Jonas Ahrendt, Tingjie Guo, Lucas M. Fleuren, Patrick Thoral, Armand R. J. Girbes, Mark Hoogendoorn, Paul W. G. Elbers

Artif. Intell. Medicine, 2021

Integrating Expert ODEs into Neural ODEs: Pharmacology and Disease Progression.

Zhaozhi Qian, William R. Zame, Lucas M. Fleuren, Paul W. G. Elbers, Mihaela van der Schaar

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Hide-and-Seek Privacy Challenge.

James Jordon, Daniel Jarrett, Jinsung Yoon, Tavian Barnes, Paul W. G. Elbers, Patrick Thoral, Ari Ercole, Cheng Zhang, Danielle Belgrave, Mihaela van der Schaar

CoRR, 2020

Hide-and-Seek Privacy Challenge: Synthetic Data Generation vs. Patient Re-identification.

James Jordon, Daniel Jarrett, Evgeny Saveliev, Jinsung Yoon, Paul W. G. Elbers, Patrick Thoral, Ari Ercole, Cheng Zhang, Danielle Belgrave, Mihaela van der Schaar

Proceedings of the NeurIPS 2020 Competition and Demonstration Track, 2020

2019

Bayesian Modelling in Practice: Using Uncertainty to Improve Trustworthiness in Medical Applications.

David Ruhe, Giovanni Ciná, Michele Tonutti, Daan P. de Bruin, Paul W. G. Elbers

CoRR, 2019

Transferring Clinical Prediction Models Across Hospitals and Electronic Health Record Systems.

Alicia Curth, Patrick Thoral, Wilco van den Wildenberg, Peter Bijlstra, Daan P. de Bruin, Paul W. G. Elbers, Mattia Fornasa

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

2012

Erratum to: Rapid automatic assessment of microvascular density in sidestream dark field images.

Rick Bezemer, Johannes G. G. Dobbe, Sebastiaan A. Bartels, E. Christiaan Boerma, Paul W. G. Elbers, Michal Heger, Can Ince

Medical Biol. Eng. Comput., 2012

2011

Rapid automatic assessment of microvascular density in sidestream dark field images.

Rick Bezemer, Johannes G. G. Dobbe, Sebastiaan A. Bartels, E. Christiaan Boerma, Paul W. G. Elbers, Michal Heger, Can Ince

Medical Biol. Eng. Comput., 2011