Computational Time Series Analysis for Cardiovascular Health and Cardiopulmonary Fitness Profiling KU Leuven
To date, there is an unmet need for accurate computational models that can identify and manage individuals at high risk of developing adverse Cardiovascular (CV) events. The purpose of this doctoral project, is the utilization of machine and deep learning algorithms to create a computational pipeline to construct a profile of patients related to their CV health and fitness and predict their response to potential exercise treatment programmes. ...