International Journal of Medical Informatics, 167 International Journal of Medical Informatics, 167:104863. Elsevier Ireland Ltd International Journal of Medical Informatics, 167. ELSEVIER IRELAND LTD Vagliano, I, Schut, M C, Abu-Hanna, A, Dongelmans, D A, de Lange, D W, Gommers, D, Cremer, O L, Bosman, R J, Rigter, S, Wils, E-J, Frenzel, T, de Jong, R, Peters, M A A, Kamps, M J A, Ramnarain, D, Nowitzky, R, Nooteboom, F G C A, de Ruijter, W, Urlings-Strop, L C, Smit, E G M, Mehagnoul-Schipper, D J, Dormans, T, de Jager, C P C, Hendriks, S H A, Achterberg, S, Oostdijk, E, Reidinga, A C, Festen-Spanjer, B, Brunnekreef, G B, Cornet, A D, van den Tempel, W, Boelens, A D, Koetsier, P, Lens, J, Faber, H J, Karakus, A, Entjes, R, de Jong, P, Rettig, T C D, Reuland, M C, Arbous, S, Fleuren, L M, Dam, T A, Thoral, P J, Lalisang, R C A, Tonutti, M, de Bruin, D P, Elbers, P W G & de Keizer, N F 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 ', International Journal of Medical Informatics, vol. 167, 104863 . https://doi.org/10.1016/j.ijmedinf.2022.104863 International journal of medical informatics, 167:104863. Elsevier Ireland Ltd