Stress hyperglycemia ratio improves machine learning-based mortality risk prediction in critically ill COVID-19 patients: a multicenter retrospective study.

Abstract

Authors

• Jiaxing Du
  Pediatric Intensive Care Unit, Dongguan Eighth People's Hospital, Dongguan, Guangdong, China.
• Keze Ma
  Pediatric Intensive Care Unit, Dongguan Eighth People's Hospital, Dongguan, Guangdong, China.
• Zhiwei Ye
  School of Computer Science, Hubei University of Technology, Wuhan 430068, China.
• Juanli Song
  Pediatric Intensive Care Unit, Dongguan Eighth People's Hospital, Dongguan, Guangdong, China.
• Sujun Chen
  Pediatric Intensive Care Unit, Dongguan Eighth People's Hospital, Dongguan, Guangdong, China.
• Jie Yu
  Institute of Animal Nutrition, Sichuan Agricultural University, Key Laboratory for Animal Disease-Resistance Nutrition of China Ministry of Education, Key Laboratory of Animal Disease-resistant Nutrition and Feed of China Ministry of Agriculture and Rural Affairs, Key Laboratory of Animal Disease-resistant Nutrition of Sichuan Province, Ya'an, 625014, China.
• Bing Liu
  Department of Cardiovascular Surgery, the Sixth Medical Centre of Chinese PLA General Hospital, 100048 Beijing, China.
• Zixuan Jiang
  State Key Laboratory of Iron and Steel Industry Environmental Protection, School of Environment, Tsinghua University, Beijing 100084, China; Industrial Energy Saving and Green Development Assessment Center, Tsinghua University, Beijing 100084, China. Electronic address: [email protected].
• Fen Zhang
  Department of Neurology, Dongguan Eighth People's Hospital, No.68 South, Shilong West Lake Third Road, Shilong Town, Dongguan City, Guangdong Province, China. [email protected].

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