Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/42452, first published .
Real-Time Prediction of Sepsis in Critical Trauma Patients: Machine Learning–Based Modeling Study

Real-Time Prediction of Sepsis in Critical Trauma Patients: Machine Learning–Based Modeling Study

Real-Time Prediction of Sepsis in Critical Trauma Patients: Machine Learning–Based Modeling Study

Jiang Li   1 * , BSc ;   Fengchan Xi   2, 3 * , MD ;   Wenkui Yu   3 * , MD ;   Chuanrui Sun   1 , BSc ;   Xiling Wang   1 , PhD

1 School of Public Health and Key Laboratory of Public Health Safety, Fudan University, Shanghai, China

2 Research Institute of General Surgery, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing, China

3 Department of Intensive Care Unit, Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China

*these authors contributed equally

Corresponding Author:

  • Xiling Wang, PhD
  • School of Public Health and Key Laboratory of Public Health Safety
  • Fudan University
  • No 130 Dongan Road
  • Xuhui District
  • Shanghai, 200032
  • China
  • Phone: 86 021-54237051
  • Email: erinwang@fudan.edu.cn