Published on September 21 2023

Updating mortality risk estimation in intensive care units from high-dimensional electronic health records with incomplete data

Publication of an article on mortality prediction in intensive care units in BMC Medical Informatics and Decision Making.

Rapport d'activité

Predicting mortality in intensive care units: imputation of incomplete data and prediction by deep learning neural networks.

The risk of mortality in intensive care units is currently assessed using scores based on admission data (SAPS, SOFA, etc.). Their performance is satisfactory when complications arise early after admission; however, they may become less relevant in the case of long hospital stays. In this study, we developed predictive models of short-term mortality in intensive care units based on longitudinal data, comparing the use of deep learning neural networks and a classical machine learning model.