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Assess and validate predictive performance of models for in..:
Vagliano, Iacopo
;
Schut, Martijn C.
;
Abu-Hanna, Ameen
...
International Journal of Medical Informatics. 167 (2022) - p. 104863 , 2022
Link:
https://doi.org/10.1016/j.ijmedinf.2022.104863
RT Journal T1
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
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.ijmedinf.2022.104863&Exemplar=1&LAN=DE A1 Vagliano, Iacopo A1 Schut, Martijn C. A1 Abu-Hanna, Ameen A1 Dongelmans, Dave A. A1 de Lange, Dylan W. A1 Gommers, Diederik A1 Cremer, Olaf L. A1 Bosman, Rob J. A1 Rigter, Sander A1 Wils, Evert-Jan A1 Frenzel, Tim A1 de Jong, Remko A1 Peters, Marco A.A. A1 Kamps, Marlijn J.A. A1 Ramnarain, Dharmanand A1 Nowitzky, Ralph A1 Nooteboom, Fleur G.C.A. A1 de Ruijter, Wouter A1 Urlings-Strop, Louise C. A1 Smit, Ellen G.M. A1 Mehagnoul-Schipper, D. Jannet A1 Dormans, Tom A1 de Jager, Cornelis P.C. A1 Hendriks, Stefaan H.A. A1 Achterberg, Sefanja A1 Oostdijk, Evelien A1 Reidinga, Auke C. A1 Festen-Spanjer, Barbara A1 Brunnekreef, Gert B. A1 Cornet, Alexander D. PB Elsevier BV YR 2022 SN 1386-5056 JF International Journal of Medical Informatics VO 167 SP 104863 LK http://dx.doi.org/https://doi.org/10.1016/j.ijmedinf.2022.104863 DO https://doi.org/10.1016/j.ijmedinf.2022.104863 SF ELIB - SuUB Bremen
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