Abstract:
Cardiovascular disease (CVD) remains a leading cause of morbidity and mortality worldwide, imposing significant economic and social burdens. With advancing technology, personal health management through wearable devices, such as smartwatches, has gained traction, particularly among heart patients. These devices measure key health metrics like heart rate and physical activity. However, their capacity to predict cardiovascular risks is still limited. This research aims to develop a cardiovascular risk assessment algorithm using data from smartwatches, supplemented by patient information collected during clinical visits.
