SmartCHANGE
Project Title - AI-based long-term health risk evaluation for driving behaviour change strategies in children and youth
Project Description
Keywords - AI, chronic disease, risk assessment
The SmartCHANGE project aims to develop long-term risk prediction models for cardiovascular and metabolic diseases in individuals aged 5 to 19. Machine-learning methods will enable accurate risk prediction, while federated learning techniques will ensure data privacy. The project will develop machine-learning methods that can train models on heterogeneous datasets, enabling the prediction of risk for people of various ages for whom different data is available. The project's solution will be tested in relevant healthcare settings.
Details
Time Span - November 2023 - October 2027 |
Assigned by - Horizon Europe |
Promotor(s) - Paul Quinn |
Researcher (s) - Renato Sabbadini |
EU Acronym - EUAR136 |
Contact - lsts@vub.be |
Research Output - website |