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 (NeurIPS, 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)

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)

Key Research Areas for Building and Deploying a Common Data Model for an Intensive Medicine Data Space in Europe and Beyond. - Carlos Luis Parra Calderón; Kirsten Colpaert; Felix Balzer; Marc Cuggia; Denis Delamarre; Christel Daniel; Maxim Moinat; Jan van den Brand; Michel E. van Genderen; Lucas M. Fleuren; Christian Jung 002; Celia Álvarez-Romero (MIE, 2024)