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ORCIDPaul W. G. Elbers
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2020 – today
- 2024
[j12]Floris den Hengst
, Martijn Otten, Paul W. G. Elbers, Frank van Harmelen, Vincent François-Lavet, Mark Hoogendoorn:
Guideline-informed reinforcement learning for mechanical ventilation in critical care. Artif. Intell. Medicine 147: 102742 (2024)- [j11]Ameet R. Jagesar, Martijn Otten, Tariq A. Dam, Laurens Biesheuvel, Dave A. Dongelmans, Sylvia Brinkman, Patrick J. Thoral, Vincent François-Lavet, Armand R. J. Girbes, Nicolette de Keizer, Harm-Jan de Grooth, Paul W. G. Elbers:
Comparative performance of intensive care mortality prediction models based on manually curated versus automatically extracted electronic health record data. Int. J. Medical Informatics 188: 105477 (2024) - [c8]Robin Van De Water, Hendrik Schmidt, Paul W. G. Elbers, Patrick Thoral, Bert Arnrich, Patrick Rockenschaub:
Yet Another ICU Benchmark: A Flexible Multi-Center Framework for Clinical ML. ICLR 2024 - 2023
- [j10]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:
Generalizable calibrated machine learning models for real-time atrial fibrillation risk prediction in ICU patients. Int. J. Medical Informatics 175: 105086 (2023) - [j9]Daniel P. Püttmann, Rowdy de Groot, Nicolette de Keizer, Ronald Cornet, Paul W. G. Elbers, Dave Dongelmans, Ferishta Bakhshi-Raiez:
Assessing the FAIRness of databases on the EHDEN portal: A case study on two Dutch ICU databases. Int. J. Medical Informatics 176: 105104 (2023) - [j8]Rowdy de Groot, Daniel P. Püttmann, Lucas M. Fleuren, Patrick J. Thoral, Paul W. G. Elbers, Nicolette F. de Keizer, Ronald Cornet:
Determining and assessing characteristics of data element names impacting the performance of annotation using Usagi. Int. J. Medical Informatics 178: 105200 (2023) - [j7]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:
Augmented intelligence facilitates concept mapping across different electronic health records. Int. J. Medical Informatics 179: 105233 (2023) - [j6]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:
Prognostic models of in-hospital mortality of intensive care patients using neural representation of unstructured text: A systematic review and critical appraisal. J. Biomed. Informatics 146: 104504 (2023) - [c7]Olivier Moulin, Vincent François-Lavet, Paul W. G. Elbers, Mark Hoogendoorn:
Improving Generalization in Reinforcement Learning Through Forked Agents. IEA/AIE (2) 2023: 249-260 - [i7]Robin Van De Water, Hendrik Schmidt, Paul W. G. Elbers, Patrick Thoral, Bert Arnrich, Patrick Rockenschaub:
Yet Another ICU Benchmark: A Flexible Multi-Center Framework for Clinical ML. CoRR abs/2306.05109 (2023) - 2022
- [j5]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:
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. Int. J. Medical Informatics 160: 104688 (2022) - [j4]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:
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. Int. J. Medical Informatics 167: 104863 (2022) - [c6]Anne De Hond, Ilse M. J. Kant, Mattia Fornasa, Giovanni Cinà, Paul W. G. Elbers, Patrick Thoral, M. Sesmu Arbous, Ewout W. Steyerberg:
Predicting readmission or death after discharge from the ICU: External validation and retraining of a machine learning model. AMIA 2022 - [c5]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:
Prediction of Acute Kidney Injury in the Intensive Care Unit: Preliminary Findings in a European Open Access Database. MIE 2022: 139-140 - [c4]Olivier Moulin, Vincent François-Lavet, Paul W. G. Elbers, Mark Hoogendoorn:
Improving generalization to new environments and removing catastrophic forgetting in Reinforcement Learning by using an eco-system of agents. WI/IAT 2022: 166-173 - [i6]Olivier Moulin, Vincent François-Lavet, Paul W. G. Elbers, Mark Hoogendoorn:
Improving adaptability to new environments and removing catastrophic forgetting in Reinforcement Learning by using an eco-system of agents. CoRR abs/2204.06550 (2022) - 2021
- [j3]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:
Transatlantic transferability of a new reinforcement learning model for optimizing haemodynamic treatment for critically ill patients with sepsis. Artif. Intell. Medicine 112: 102003 (2021) - [c3]Zhaozhi Qian, William R. Zame, Lucas M. Fleuren, Paul W. G. Elbers, Mihaela van der Schaar:
Integrating Expert ODEs into Neural ODEs: Pharmacology and Disease Progression. NeurIPS 2021: 11364-11383 - [i5]Zhaozhi Qian, William R. Zame, Lucas M. Fleuren, Paul W. G. Elbers, Mihaela van der Schaar:
Integrating Expert ODEs into Neural ODEs: Pharmacology and Disease Progression. CoRR abs/2106.02875 (2021) - [i4]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:
A pragmatic approach to estimating average treatment effects from EHR data: the effect of prone positioning on mechanically ventilated COVID-19 patients. CoRR abs/2109.06707 (2021) - [i3]Karina Zadorozhny, Patrick Thoral, Paul W. G. Elbers, Giovanni Cinà:
Out-of-Distribution Detection for Medical Applications: Guidelines for Practical Evaluation. CoRR abs/2109.14885 (2021) - 2020
- [c2]James Jordon, Daniel Jarrett, Evgeny Saveliev, Jinsung Yoon, Paul W. G. Elbers, Patrick Thoral, Ari Ercole, Cheng Zhang, Danielle Belgrave, Mihaela van der Schaar:
Hide-and-Seek Privacy Challenge: Synthetic Data Generation vs. Patient Re-identification. NeurIPS (Competition and Demos) 2020: 206-215 - [i2]James Jordon, Daniel Jarrett, Jinsung Yoon, Tavian Barnes, Paul W. G. Elbers, Patrick Thoral, Ari Ercole, Cheng Zhang, Danielle Belgrave, Mihaela van der Schaar:
Hide-and-Seek Privacy Challenge. CoRR abs/2007.12087 (2020)
2010 – 2019
- 2019
- [c1]Alicia Curth, Patrick Thoral, Wilco van den Wildenberg, Peter Bijlstra, Daan P. de Bruin, Paul W. G. Elbers, Mattia Fornasa:
Transferring Clinical Prediction Models Across Hospitals and Electronic Health Record Systems. PKDD/ECML Workshops (1) 2019: 605-621 - [i1]David Ruhe, Giovanni Ciná, Michele Tonutti, Daan P. de Bruin, Paul W. G. Elbers:
Bayesian Modelling in Practice: Using Uncertainty to Improve Trustworthiness in Medical Applications. CoRR abs/1906.08619 (2019) - 2012
- [j2]Rick Bezemer, Johannes G. G. Dobbe, Sebastiaan A. Bartels, E. Christiaan Boerma, Paul W. G. Elbers, Michal Heger, Can Ince:
Erratum to: Rapid automatic assessment of microvascular density in sidestream dark field images. Medical Biol. Eng. Comput. 50(10): 1115 (2012) - 2011
- [j1]Rick Bezemer, Johannes G. G. Dobbe, Sebastiaan A. Bartels, E. Christiaan Boerma, Paul W. G. Elbers, Michal Heger, Can Ince:
Rapid automatic assessment of microvascular density in sidestream dark field images. Medical Biol. Eng. Comput. 49(11): 1269-1278 (2011)
Coauthor Index
aka: Patrick J. Thoral
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