Active4Life; optimization of use and effects of eHealth (2019-2023)
This project focuses on the optimization of use and effects of already proven eHealth interventions meant to stimulate adults and the elderly (diseased and healthy) to have an active lifestyle.

There is an explicit focus on vulnerable populations, such as people with low education, low digital and health skills as they are most deprived with regard to both their health as well as their physical activity. Researchers from the department of computer science develop and apply new machine learning methods to able to analyse 8 large-scale existing datasets from proven effective online interventions to determine which factors are relevant to increase physical activity among (healthy and diseased) adults.

Supported by: NWO ZonMw
Participating CS members: Simone Tummers, Arjen Hommersom.

Read more (in Dutch)