Dynamic and explainable machine learning prediction of mortality in patients in the intensive care unit: a retrospective study of high-frequency data in electronic patient records.

The deep learning model showed a predictive performance on the holdout testing dataset that improved over the timecourse of an ICU stay, thus making the model suitable for further validation as a clinical tool.