Machine learning platform for better cardiovascular health assessment and risk stratification KU Leuven
Precise description of cardiovascular health and risk assessment are essential for optimal prevention and treatment strategies, but require a complex integration of many factors. The specific objectives of this project are: (1) Applying machine-learning (ML) algorithms to the available longitudinal, highly standardized, general population data to assess the complexity of clinical and behavioral variables, cardiac imaging sequences and ...