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
1152例COVID-19患者机械通气期间不良结局的风险因素:一项基于荷兰数据仓库高精度数据的多中心机器学习研究
期刊:Intensive Care Medicine Experimental
影响因子:3.1
doi:10.1186/s40635-021-00397-5
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; Cinà, Giovanni; Beudel, Martijn; de Keizer, Nicolet F; Hoogendoorn, Mark; Girbes, Armand R J; Herter, Willem E; Elbers, Paul W G; Thoral, Patrick J