Cardiovascular diseases (CVDs) remain a leading cause of morbidity and mortality
worldwide. Effective prevention and management strategies are essential to reduce the …

Globally, cardiovascular diseases (CVDs) rank among the leading causes of mortality. One
out of every three deaths is attributed to cardiovascular disease, according to new World …

Artificial Intelligence (AI) has demonstrated exceptional performance in automating critical
healthcare tasks, such as diagnostic imaging analysis and predictive modeling, often …

In recent years, there has been explosive development in artificial intelligence (AI), which
has been widely applied in the health care field. As a typical AI technology, machine …

Background The incidence and mortality rates of cardiovascular disease worldwide are a
major concern in the healthcare industry. Precise prediction of cardiovascular disease is …

Background Various predictive models have been developed for predicting the incidence of
coronary heart disease (CHD), but none of them has had optimal predictive value. Although …

Conventional machine learning techniques in diagnosing cardiovascular disease have a
limitation owing to the lack of interpretability of models. This study utilised an explainable …

One of the leading causes of mortality worldwide is cardiovascular disease (CVD).
Electrocardiography (ECG) is a noninvasive and cost-effective tool to diagnose the heart's …

Cardiovascular disease (CVD) can often lead to serious consequences such as death or
disability. This study aims to identify a tree-based machine learning method with the best …

Because cardiovascular disease (CVD) is still one of the world's leading causes of death,
sophisticated predictive models are required for early detection and prevention. This study …