Predicting responders to prone positioning in mechanically ventilated patients with COVID-19 using machine learning.
Dam TA, Roggeveen LF, van Diggelen F, Fleuren LM, Jagesar AR, Otten M, de Vries HJ, Gommers D, Cremer OL, Bosman RJ, Rigter S, Wils EJ, Frenzel T, Dongelmans DA, de Jong R, Peters MAA, Kamps MJA, Ramnarain D, Nowitzky R, Nooteboom FGCA, de Ruijter W, Urlings-Strop LC, Smit EGM, Mehagnoul-Schipper DJ, Dormans T, de Jager CPC, Hendriks SHA, Achterberg S, Oostdijk E, Reidinga AC, Festen-Spanjer B, Brunnekreef GB, Cornet AD, van den Tempel W, Boelens AD, Koetsier P, Lens J, Faber HJ, Karakus A, Entjes R, de Jong P, Rettig TCD, Arbous S, Vonk SJJ, Machado T, Herter WE, de Grooth HJ, Thoral PJ, Girbes ARJ, Hoogendoorn M, Elbers PWG; Dutch ICU Data Sharing Against COVID-19 Collaborators.
Dam TA, et al.
Ann Intensive Care. 2022 Oct 20;12(1):99. doi: 10.1186/s13613-022-01070-0.
Ann Intensive Care. 2022.
PMID: 36264358
Free PMC article.