Vagliano, I. (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. 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.

Vagliano, Iacopo. "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." 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.2022.1048632022.

Vagliano, Iacopo. "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." 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.2022.1048632022.