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A multi-cohort study on prediction of acute brain dysfunction states using selective state space models
Our research fills these gaps in the existing literature by dynamically predicting delirium, coma, and mortality for 12-hour intervals throughout an ICU stay and validating on two public datasets.
Transformer Models for Acute Brain Dysfunction Prediction
In this work, we develop a machine learning system for real-time prediction of ADB using Electronic Health Record (HER) data.
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