iNNOCENS: data driven clinical decision support for improved neonatal care. University of Antwerp
Analysis of patient related vital parameters generated in a continuous manner on a neonatal intensive care department offers the opportunity to develop computational models that can predict care-related complications. This project aims to develop a machine learning model that can predict acquired brain injury of prematurity. The model can than be implemented to generate bedside visualizations in the context of a self-learning digital early ...