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A Lightweight LSTM-Transformer Fusion Architecture for Real-Time Sepsis Mortality Prediction

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Journal of Intensive Care Medicine

Published online on

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 ...