Machine Learning Highlights Downtrending of COVID-19 Patients with a Distinct Laboratory Profile.

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第一作者： He S,Yang

第一单位： Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA.;New York-Presbyterian Hospital/Weill Cornell Medical Campus, New York, NY, USA.

作者： He S,Yang ^[1] ; Yu,Hou ^[2] ; Hao,Zhang ^[2] ; Amy,Chadburn ^[1] ; Lars F,Westblade ^[3] ; Richard,Fedeli ^[4] ; Peter A D,Steel ^[5] ; Sabrina E,Racine-Brzostek ^[1] ; Priya,Velu ^[1] ; Jorge L,Sepulveda ^[6] ; Michael J,Satlin ^[7] ; Melissa M,Cushing ^[1] ; Rainu,Kaushal ^[8] ; Zhen,Zhao ^[1] ; Fei,Wang ^[2]

作者单位： Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA.;New York-Presbyterian Hospital/Weill Cornell Medical Campus, New York, NY, USA. ^[1] Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA. ^[2] Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA.;New York-Presbyterian Hospital/Weill Cornell Medical Campus, New York, NY, USA.;Department of Medicine, Weill Cornell Medicine, New York, NY, USA. ^[3] New York-Presbyterian Hospital/Weill Cornell Medical Campus, New York, NY, USA. ^[4] New York-Presbyterian Hospital/Weill Cornell Medical Campus, New York, NY, USA.;Department of Emergency Medicine, Weill Cornell Medicine, New York, NY, USA. ^[5] Department of Pathology, School of Medicine and Health Sciences, George Washington University, Washington DC, USA. ^[6] Division of Infectious Disease, Department of Medicine, Weill Cornell Medicine, New York, NY, USA. ^[7] New York-Presbyterian Hospital/Weill Cornell Medical Campus, New York, NY, USA.;Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA. ^[8]

DOI 10.34133/2021/7574903

PMID 36405356

发布时间 2022-11-22

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Machine Learning Highlights Downtrending of COVID-19 Patients with a Distinct Laboratory Profile.

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Machine Learning Highlights Downtrending of COVID-19 Patients with a Distinct Laboratory Profile.

Health data science

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Health data science

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