Integrative computer modeling of cardiorespiratory fitness for personalised profiling and prevention of early-stage heart failure KU Leuven
The surging burden of heart diseases on our society calls for tools that can adequately detect and control heart diseases before disease symptoms present. Clinical exercise tests could improve the characterisation and management of subclinical stages of cardiac disease. Yet, current practice only considers a limited selection of cardiopulmonary exercise indexes in isolation. To utilise the full value of clinical and exercise testing data, in ...