Comparing ensemble learning algorithms and severity of illness scoring systems in cardiac intensive care units: a retrospective study.
Journal:
Einstein (Sao Paulo, Brazil)
PMID:
39417479
Abstract
BACKGROUND: Beatriz Nistal-Nuño designed a machine learning system type of ensemble learning for patients undergoing cardiac surgery and intensive care unit cardiology patients, based on sequences of cardiovascular physiological measurements and other intensive care unit physiological measurements in addition to static features, which generates a score for prediction of mortality of cardiac intensive care unit patients.