A Lightweight LSTM-Transformer Fusion Architecture for Real-Time Sepsis Mortality Prediction
Journal of Intensive Care Medicine
Published online on May 06, 2026
Abstract
Journal of Intensive Care Medicine, Ahead of Print.
BackgroundAccurate prediction of short-term mortality in sepsis patients is critical for timely clinical decision-making. However, existing deep learning models often focus on static physiological parameters while neglecting the dynamic response to ...
BackgroundAccurate prediction of short-term mortality in sepsis patients is critical for timely clinical decision-making. However, existing deep learning models often focus on static physiological parameters while neglecting the dynamic response to ...