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Developing and validating machine learning models to predict next-day extubation.

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第一作者： Samuel W,Fenske

第一单位： Division of Pulmonary and Critical Care, Northwestern University Feinberg School of Medicine, Chicago, USA.

作者： Samuel W,Fenske ^[1] ; Alec,Peltekian ^[2] ; Mengjia,Kang ^[1] ; Nikolay S,Markov ^[1] ; Mengou,Zhu ^[3] ; Kevin,Grudzinski ^[3] ; Melissa J,Bak ^[3] ; Anna,Pawlowski ^[4] ; Vishu,Gupta ^[2] ; Yuwei,Mao ^[2] ; Stanislav,Bratchikov ^[1] ; Thomas,Stoeger ^[1] ; Luke V,Rasmussen ^[5] ; Alok N,Choudhary ^[2] ; Alexander V,Misharin ^[6] ; Benjamin D,Singer ^[6] ; G R Scott,Budinger ^[6] ; Richard G,Wunderink ^[6] ; Ankit,Agrawal ^[2] ; Catherine A,Gao ^[7] ; NU SCRIPT Study Investigators

作者单位： Division of Pulmonary and Critical Care, Northwestern University Feinberg School of Medicine, Chicago, USA. ^[1] Department of Electrical and Computer Engineering, Northwestern University, Evanston, USA. ^[2] Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, USA. ^[3] Enterprise Data Warehouse, Northwestern Medicine, Chicago, USA. ^[4] Division of Health and Biomedical Informatics, Northwestern University Feinberg School of Medicine, Chicago, USA. ^[5] Division of Pulmonary and Critical Care, Northwestern University Feinberg School of Medicine, Chicago, USA.;Simpson Querrey Lung Institute for Translational Science (SQLIFTS), Northwestern University Feinberg School of Medicine, Chicago, USA. ^[6] Division of Pulmonary and Critical Care, Northwestern University Feinberg School of Medicine, Chicago, USA. catherine.gao@northwestern.edu. ^[7]

关键词 Critical care Deep learning Machine learning Mechanical ventilation Respiratory failure