Machine Learning Approaches for Patient State Prediction in Pediatric ICUs

We consider the problem of characterizing and predicting the condition of pediatric patients in intensive care units (ICUs). This population is often typified by rapid changes in patient conditions which necessitate predictions that can capture transition in patient states. While the assessment of patient’s condition is currently usually done using domain based scoring systems, we employ machine l...