Prognostic Assessment of COVID-19 in the Intensive Care Unit by Machine Learning Methods: Model Development and Validation.

Abstract

Authors

• Pan Pan
  School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China.
• Yichao Li
  DHC Mediway Technology Co., Ltd., Beijing, China.
• Yongjiu Xiao
  The 940th Hospital of Jiont Logistics Support Force of Chinese People's Liberation Army, Lanzhou, China.
• Bingchao Han
  The 980th Hospital of Jiont Logistics Support Force of Chinese People's Liberation Army, Shijiazhuang, China.
• Longxiang Su
  Department of Critical Care Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China.
• Mingliang Su
  DHC Mediway Technology Co., Ltd., Beijing, China.
• Yansheng Li
  DHC Mediway Technology Co., Ltd., Beijing, China.
• Siqi Zhang
  Tianjin Key Laboratory of Optoelectronic Detection Technology and System , Tianjin , China.
• Dapeng Jiang
  DHC Mediway Technology Co Ltd, Beijing, China.
• Xia Chen
  Tianjin Eye Hospital, 4 Gansu Road, Tianjin, 300020, China.
• Fuquan Zhou
  DHC Mediway Technology Co Ltd, Beijing, China.
• Ling Ma
  Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, USA.
• Pengtao Bao
  College of Pulmonary and Critical Care Medicine, Chinese PLA General Hospital, Beijing, China.
• Lixin Xie
  Department of Pulmonary and Critical Care Medicine, Chinese PLA General Hospital, Beijing, China.

Keywords

External Resources