Mortality Prediction in the ICU Based on MIMIC-II Results from the Super ICU Learner Algorithm (SICULA) Project
Romain Pirracchio · 2016
MIMIC II dataset offers a unique opportunity to develop and validate new severity scores. Non-parametric approaches are needed to model ICU mortality. Prediction of hospital mortality based on the Super Learner achieves significantly improved performance, both in terms of calibration and discrimination, as compared to conventional severity scores.