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Fleuren, Lucas M., Tonutti, Michele, de Bruin, Daan P., Lalisang, Robbert C. A., Dam, Tariq A., Gommers, Diederik, Cremer, Olaf L., Bosman, Rob J., Vonk, Sebastiaan J. J., Fornasa, Mattia, Machado, Tomas, van der Meer, Nardo J. M., Rigter, Sander, Wils, Evert-Jan, Frenzel, Tim, Dongelmans, Dave A., de Jong, Remko, Peters, Marco, 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., Oostdijk, Evelien, Reidinga, Auke C., Festen-Spanjer, Barbara, Brunnekreef, Gert, Cornet, Alexander D., van den Tempel, Walter, Boelens, Age D., Koetsier, Peter, Lens, Judith, Achterberg, Sefanja, Faber, Harald J., Karakus, A., Beukema, Menno, Entjes, Robert, de Jong, Paul, Houwert, Taco, Hovenkamp, Hidde, Noorduijn Londono, Roberto, Quintarelli, Davide, Scholtemeijer, Martijn G., de Beer, Aletta A., van Osch, Frits, Aries, Marcel
Veröffentlicht in: Fleuren , L M , Tonutti , M , de Bruin , D P , Lalisang , R C A , Dam , T A , Gommers , D , Cremer , O L , Bosman , R J , Vonk , S J J , Fornasa , M , Machado , T , van der Meer , N J M , Rigter , S , Wils , E-J , Frenzel , T , Dongelmans , D A , de Jong , R , Peters , M , 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 , Oostdijk , E , Reidinga , A C , Festen-Spanjer , B , Brunnekreef , G , Cornet , A D , van den Tempel , W , Boelens , A D , Koetsier , P , Lens , J , Achterberg , S , Faber , H J , Karakus , A , Beukema , M , Entjes , R , de Jong , P , Houwert , T , Hovenkamp , H , Noorduijn Londono , R , Quintarelli , D , Scholtemeijer , M G , de Beer , A A , Dutch ICU Data Sharing Against Covid-19 Collaborators , van Osch , F & Aries , M 2021 , ' Risk factors for adverse outcomes during mechanical ventilation of 1152 COVID-19 patients : a multicenter machine learning study with highly granular data from the Dutch Data Warehouse ' , Intensive Care Medicine Experimental , vol. 9 , no. 1 , 32 . https://doi.org/10.1186/s40635-021-00397-5;
2021