Predictors for Extubation Failure in COVID-19 Patients Using a Machine Learning ApproachFleuren Lucas M.,Dam Tariq A.,Tonutti Michele,de Bruin Daan P.,Lalisang Robbert C. A.,Gommers Diederik,Cremer Olaf L.,Bosman Rob J.,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.,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.,Fornasa Mattia,Machado Tomas,Houwert Taco,Hovenkamp Hidde,Noorduijn Londono Roberto,Quintarelli Davide,Scholtemeijer Martijn G.,de Beer Aletta A.,Cinà Giovanni, Kantorik Adam,de Ruijter Tom,Herter Willem E.,Beudel Martijn,Girbes Armand R. J.,Hoogendoorn Mark,Thoral Patrick J.,Elbers Paul W. G.Critical care（2021）引用 24|浏览29关键词Extubation,Prediction,Risk factors,Extubation failureAI 理解论文溯源树样例生成溯源树，研究论文发展脉络Chat Paper正在生成论文摘要
