Published on in Vol 9, No 3 (2021): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/23888, first published .
Noninvasive Real-Time Mortality Prediction in Intensive Care Units Based on Gradient Boosting Method: Model Development and Validation Study

Noninvasive Real-Time Mortality Prediction in Intensive Care Units Based on Gradient Boosting Method: Model Development and Validation Study

Noninvasive Real-Time Mortality Prediction in Intensive Care Units Based on Gradient Boosting Method: Model Development and Validation Study

Huizhen Jiang   1 * , BSc ;   Longxiang Su   2 * , MD ;   Hao Wang   2 , MD ;   Dongkai Li   1 , MD ;   Congpu Zhao   1 , BSc ;   Na Hong   3 , PhD ;   Yun Long   2 , MD ;   Weiguo Zhu   1 , MD

1 Department of Information Center, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China

2 Department of Critical Care Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China

3 Digital Health China Technologies Co., Ltd, Beijing, China

*these authors contributed equally

Corresponding Author:

  • Weiguo Zhu, MD
  • Department of Information Center, State Key Laboratory of Complex Severe and Rare Diseases
  • Peking Union Medical College Hospital
  • Chinese Academy of Medical Science and Peking Union Medical College
  • 1 Shuaifuyuan, Dongcheng District
  • Beijing, 100730
  • China
  • Phone: 86 01069154149
  • Email: Zhuwg@pumch.cn