Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58779, first published .
An Easy and Quick Risk-Stratified Early Forewarning Model for Septic Shock in the Intensive Care Unit: Development, Validation, and Interpretation Study

An Easy and Quick Risk-Stratified Early Forewarning Model for Septic Shock in the Intensive Care Unit: Development, Validation, and Interpretation Study

An Easy and Quick Risk-Stratified Early Forewarning Model for Septic Shock in the Intensive Care Unit: Development, Validation, and Interpretation Study

Guanghao Liu   1, 2, 3 * , PhD ;   Shixiang Zheng   2, 4 * , MD, PhD ;   Jun He   1, 2, 5 * , PhD ;   Zi-Mei Zhang   6 , PhD ;   Ruoqiong Wu   1, 2 , MSc ;   Yingying Yu   1, 2 , MSc ;   Hao Fu   1, 2 , MSc ;   Li Han   1, 2 , MSc ;   Haibo Zhu   1, 2, 3 , PhD ;   Yichang Xu   1, 2, 7 , MSc ;   Huaguo Shao   1, 2 , MSc ;   Haidan Yan   1, 2, 5 , PhD ;   Ting Chen   1, 2, 8 , PhD ;   Xiaopei Shen   1, 2, 3, 5 , PhD

1 Department of Bioinformatics, School of Medical Technology and Engineering, Fujian Medical University, Fuzhou, China

2 Fujian Key Laboratory of Medical Bioinformatics, Institute of Precision Medicine, Fujian Medical University, Fuzhou, China

3 School of Basic Medical Sciences, Fujian Medical University, Fuzhou, China

4 Department of Critical Care Medicine, Union Hospital of Fujian Medical University, Fuzhou, China

5 Key Laboratory of Gastrointestinal Cancer (Fujian Medical University), Ministry of Education, Fuzhou, China

6 School of Biology and Biological Engineering, South China University of Technology, Guangzhou, China

7 School of Medical Imaging, Fujian Medical University, Fuzhou, China

8 Department of Computer Science and Technology, Institute of Artificial Intelligence,  Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China

*these authors contributed equally

Corresponding Author:

  • Xiaopei Shen, PhD
  • Department of Bioinformatics
  • School of Medical Technology and Engineering
  • Fujian Medical University
  • 1 Xue Yuan Road, University Town
  • Fuzhou, 350122
  • China
  • Phone: 86 17366882017
  • Email: xshen@fjmu.edu.cn