The REBRAIN project aims to make accurate predictions about the probability of different employment outcomes, one year after traumatic brain injury. As prospective data collection is very resource intensive, it should be assessed whether routinely collected data can be used for the creation of personalized predictions. This project applies recent data science techniques to create a prediction model using big data on hospital stay, healthcare utilization and employment, which are linked at an individual level. Additional data collection with an extended item set enables the evaluation of the added value of prospective data as opposed to routinely collected data. The predictions resulting from this research can be applied to inform patients, but also clinicians and policymakers on how to optimize current practices regarding the trajectory towards reinstatement. REBRAIN is funded by the Flemish Research Foundation (FWO) and the Fund BENEVERMEDEX (managed by the King Baudouin Foundation).
Contact person of the project: Helena Van Deynse