The use of linked registries to assess long-term mortality of ICU patients. - Sylvia Brinkman; Evert de Jonge; Ameen Abu-Hanna; Dylan W. De Lange; Nicolette de Keizer (MIE, 2012)

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. - 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 (Int. J. Medical Informatics, 2022)

Linking Dutch Intensive Care Registry Data to Socioeconomic Status Scores. - Daniëlle J. M. Koornneef; Sylvia Brinkman; Fabian Termorshuizen; Nicolette F. de Keizer (MIE, 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)

Development and evaluation of regression tree models for predicting in-hospital mortality of a national registry of COVID-19 patients over six pandemic surges. - Martijn C. Schut; Dave A. Dongelmans; Dylan W. De Lange; Sylvia Brinkman; D. P. Verbiest; L. F. te Velde; E. M. van Driel; T. Rijpstra; P. H. J. Elbers; A. P. I. Houwink; L. Georgieva; E. Verweij; et al. (BMC Medical Informatics Decis. Mak., 2024)