Epidemiology

Our team

running projects

Mapping care pathways in children with TBI using machine learning

V. De Deken (K. Putman - K. Barbé)

In general, brain injuries present a significant societal burden. Focus should be brought not only to prevention but also towards improved quality of care. Currently, there is too much unexplainable variation in care trajectories. One category of patients less studied in this domain is pediatric traumatic brain injuries. To overcome this problem, administrative data holds the potential to provide a solution. In this project, we aim to identify different care pathways using machine learning techniques in order to better understand the variation in care and work towards improving the quality of care received by patients.