Intelligent Prediction Platform for Sepsis Risk Based on Real-Time Dynamic Temporal Features: Design Study
This platform provides real-time dynamic warnings for sepsis risk in critically ill ICU patients, supporting timely clinical decision-making.
Authors
- M. Zhang (ORCID: https://orcid.org/0000-0002-4388-2838)
- Tianyi Zhang (ORCID: https://orcid.org/0009-0007-9209-8840)
- You Cheng
- Ming Zhong (ORCID: https://orcid.org/0000-0002-5578-5277)
Institutions
- University of Shanghai for Science and Technology (CN)
- Fudan University (CN)
- Shanghai Medical Information Center (CN)
- Zhongshan Hospital (CN)
Publication Details
- Journal
- JMIR Medical Informatics
- Published
- 2025-05-30
- DOI
- https://doi.org/10.2196/74940
- Citations
- 2
- Primary Topic
- Sepsis Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 2.71