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 (PKDD/ECML Workshops (1), 2019)

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 005; Danielle Belgrave; Mihaela van der Schaar (NeurIPS (Competition and Demos), 2020)

Hide-and-Seek Privacy Challenge. - James Jordon; Daniel Jarrett; Jinsung Yoon; Tavian Barnes; Paul W. G. Elbers; Patrick Thoral; Ari Ercole; Cheng Zhang 005; Danielle Belgrave; Mihaela van der Schaar (CoRR, 2020)

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)

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; et al. (CoRR, 2021)

Out-of-Distribution Detection for Medical Applications: Guidelines for Practical Evaluation. - Karina Zadorozhny; Patrick Thoral; Paul W. G. Elbers; Giovanni Cinà (CoRR, 2021)

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 (AMIA, 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; et al. (MIE, 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; et al. (Int. J. Medical Informatics, 2022)

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, 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; et al. (Int. J. Medical Informatics, 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 (ICLR, 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)