Dynamic SOFA component scores-based deep learning for short to long-term mortality prediction in sepsis survivors

Dynamic SOFA component scores-based deep learning for short to long-term mortality prediction in sepsis survivors

Abstract Background Sepsis survivors face substantial risks of late mortality following discharge, underscoring the critical need for early prediction and targeted interventions for this vulnerable population. Early identification of those at high risk of mortality following discharge may optimize h...

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Bibliographic Details
Main Authors: Juan Wei, Feihong Lin, Tian Jin, Qian Yao, Sheng Wang, Di Feng, Xin Lv, Wen He
Format: Article
Language:English
Published: SpringerOpen 2025-07-01
Series:Journal of Big Data
Subjects:
Sepsis
Deep learning
Sequential organ failure assessment
Online Access:https://doi.org/10.1186/s40537-025-01234-2
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