Predicting responders to prone positioning in mechanically ventilated patients with COVID-19 using machine learning
利用机器学习预测新冠肺炎机械通气患者俯卧位治疗的反应
期刊:Annals of Intensive Care
影响因子:5.5
doi:10.1186/s13613-022-01070-0
Dam, Tariq A; Roggeveen, Luca F; van Diggelen, Fuda; Fleuren, Lucas M; Jagesar, Ameet R; Otten, Martijn; de Vries, Heder J; Gommers, Diederik; Cremer, Olaf L; Bosman, Rob J; Rigter, Sander; Wils, Evert-Jan; Frenzel, Tim; Dongelmans, Dave A; 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; Arbous, Sesmu; Vonk, Sebastiaan J J; Machado, Tomas; Herter, Willem E; de Grooth, Harm-Jan; Thoral, Patrick J; Girbes, Armand R J; Hoogendoorn, Mark; Elbers, Paul W G