Patrick Thoral

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 9

Top Topics

Intensive Care Unit

Practical Problems

Machine Learning

Top Venues

Artif. Intell. Medicine

Publications

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)
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 (2023)
Anne De Hond, Ilse 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)
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)
Luca Roggeveen, Ali el Hassouni, Jonas Ahrendt, Tingjie Guo, Lucas 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 (2021)
Karina Zadorozhny, Patrick Thoral, Paul W. G. Elbers, Giovanni Cinà
Out-of-Distribution Detection for Medical Applications: Guidelines for Practical Evaluation. CoRR (2021)
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)
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 (2020)
Alicia Curth, Patrick Thoral, Wilco van den Wildenberg, Peter Bijlstra, Daan de Bruin, Paul W. G. Elbers, Mattia Fornasa
Transferring Clinical Prediction Models Across Hospitals and Electronic Health Record Systems. PKDD/ECML Workshops (1) (2019)