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Using Automated Machine Learning to Predict the Mortality of Patients With COVID-19: Prediction Model Development Study.

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第一作者： Kenji,Ikemura

第一单位： Department of Pathology, Albert Einstein College of Medicine, Montefiore Medical Center, The Bronx, NY, United States.;Tsubomi Technology, The Bronx, NY, United States.

作者： Kenji,Ikemura ^[1] ; Eran,Bellin ^[2] ; Yukako,Yagi ^[3] ; Henny,Billett ^[4] ; Mahmoud,Saada ^[5] ; Katelyn,Simone ^[5] ; Lindsay,Stahl ^[2] ; James,Szymanski ^[6] ; D Y,Goldstein ^[6] ; Morayma,Reyes Gil ^[6]

作者单位： Department of Pathology, Albert Einstein College of Medicine, Montefiore Medical Center, The Bronx, NY, United States.;Tsubomi Technology, The Bronx, NY, United States. ^[1] Department of Epidemiology and Population Health and Medicine, Albert Einstein College of Medicine, Montefiore Medical Center, The Bronx, NY, United States. ^[2] Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, United States. ^[3] Department of Oncology and Medicine, Albert Einstein College of Medicine, Montefiore Medical Center, The Bronx, NY, United States. ^[4] Tsubomi Technology, The Bronx, NY, United States. ^[5] Department of Pathology, Albert Einstein College of Medicine, Montefiore Medical Center, The Bronx, NY, United States. ^[6]

关键词 COVID-19 Shapley additive explanation automated machine learning biomarker decision support decision support tool dimensionality reduction machine learning partial dependence plot ranking