Patrick Thoral

According to our database, Patrick Thoral authored at least 13 papers between 2019 and 2024.

Collaborative distances:

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

2024

Comparative performance of intensive care mortality prediction models based on manually curated versus automatically extracted electronic health record data.

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

Int. J. Medical Informatics, 2024

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

Proceedings of the Twelfth International Conference on Learning Representations, 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

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

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

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

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

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