Early hospital mortality prediction of intensive care unit patients using an ensemble learning approach.
Journal:
International journal of medical informatics
Published Date:
Oct 5, 2017
Abstract
BACKGROUND: Mortality prediction of hospitalized patients is an important problem. Over the past few decades, several severity scoring systems and machine learning mortality prediction models have been developed for predicting hospital mortality. By contrast, early mortality prediction for intensive care unit patients remains an open challenge. Most research has focused on severity of illness scoring systems or data mining (DM) models designed for risk estimation at least 24 or 48h after ICU admission.