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

Journal: JMIR medical informatics
Published Date: May 30, 2025

Abstract

BACKGROUND: The development of sepsis in the intensive care unit (ICU) is rapid, the golden rescue time is short, and the effective way to reduce mortality is rapid diagnosis and early warning. Therefore, real-time prediction models play a key role in the clinical diagnosis and management of sepsis. However, the existing sepsis prediction models based on artificial intelligence still have limitations, such as poor real-time performance and insufficient interpretation.

Authors

  • Mingwei Zhang
    School of Health Sciences and Engineering, University of Shanghai for Science and Technology, Shanghai, China.
  • Ming Zhong
    Department of Land Resources and Environment, School of Geography and Planning, Sun Yat-sen University, Guangzhou, China.
  • Yunzhang Cheng
    School of Health Sciences and Engineering, University of Shanghai for Science and Technology, Shanghai, China.
  • Tianyi Zhang
    Department of Surgery, Division of Otolaryngology-Head and Neck Surgery, UC San Diego School of Medicine, San Diego, CA, 92093, USA.

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