crossrefMachine Learning and Knowledge Extraction2026-05-13
An Interpretable and Uncertainty-Aware Deep Learning Framework for Early Sepsis Prediction Using SHAP-Enhanced Attention and Continuous-Time Neural Networks
Rekha R. Nair, Tina Babu, Balamurugan Balusamy, Wee How Khoh, Alaa M. Momani, Basem Abu Zneid
Sepsis is a prominent cause of death in intensive care units, and delayed diagnosis greatly worsens fatal outcomes due to the complex, irregular, and uneven character of clinical time-series data. Hence we proposed an interpretable and uncertainty-aware deep learning architecture…