Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/74940, first published .
Intelligent Prediction Platform for Sepsis Risk Based on Real-Time Dynamic Temporal Features: Design Study

Intelligent Prediction Platform for Sepsis Risk Based on Real-Time Dynamic Temporal Features: Design Study

Intelligent Prediction Platform for Sepsis Risk Based on Real-Time Dynamic Temporal Features: Design Study

Mingwei Zhang   1 , PhD ;   Ming Zhong   2 , MD ;   Yunzhang Cheng   1, 3 , PhD ;   Tianyi Zhang   1 , PhD

1 School of Health Sciences and Engineering, University of Shanghai for Science and Technology, Shanghai, China

2 Department of Critical Care Medicine, Zhongshan Hospital Affiliated to Fudan University, Shanghai, China

3 Lin-gang Medical Device Innovation Center, Shanghai, China

Corresponding Author:

  • Tianyi Zhang, PhD
  • School of Health Sciences and Engineering
  • University of Shanghai for Science and Technology
  • Jungong road 334
  • Shanghai 200093
  • China
  • Phone: 86 19117192540
  • Email: 19117192540@163.com