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

Verfasser: Vagliano, Iacopo
Schut, Martijn C.
Abu-Hanna, Ameen
Dongelmans, Dave A.
de Lange, Dylan W.
Gommers, Diederik
Cremer, Olaf L.
Bosman, Rob J.
Rigter, Sander
Wils, Evert-Jan
Frenzel, Tim
de Jong, Remko
Peters, Marco A.A.
Kamps, Marlijn J.A.
Ramnarain, Dharmanand
Nowitzky, Ralph
Nooteboom, Fleur G.C.A.
de Ruijter, Wouter
Urlings-Strop, Louise C.
Smit, Ellen G.M.
Mehagnoul-Schipper, D. Jannet
Dormans, Tom
de Jager, Cornelis P.C.
Hendriks, Stefaan H.A.
Achterberg, Sefanja
Oostdijk, Evelien
Reidinga, Auke C.
Festen-Spanjer, Barbara
Brunnekreef, Gert B.
Cornet, Alexander D.
van den Tempel, Walter
Boelens, Age D.
Koetsier, Peter
Lens, Judith
Faber, Harald J.
Karakus, A.
Entjes, Robert
de Jong, Paul
Rettig, Thijs C.D.
Reuland, M.C.
Arbous, Sesmu
Fleuren, Lucas M.
Dam, Tariq A.
Thoral, Patrick J.
Lalisang, Robbert C.A.
Tonutti, Michele
de Bruin, Daan P.
Elbers, Paul W.G.
de Keizer, Nicolette F.
Dokumenttyp: Artikel
Erscheinungsdatum: 2022
Reihe/Periodikum: International Journal of Medical Informatics ; volume 167, page 104863 ; ISSN 1386-5056
Verlag/Hrsg.: Elsevier BV
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-29164429
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : http://dx.doi.org/10.1016/j.ijmedinf.2022.104863