Cardiovascular diseases claim approximately 17.9 million lives annually, with heart attacks
and strokes accounting for over 80% of these deaths. Key risk factors, including …

Heart disease stands as a principal cause of death worldwide, and its early prediction is
essential for effective patient management and the reduction of healthcare expenditures. In …

Cardiovascular disease (CVD) is one of the leading causes of death worldwide. Early
detection of CVD reduces the risk of a heart attack and increases the chance of recovery …

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

The global prevalence of cardiovascular diseases (CVDs) as a leading cause of death
highlights the imperative need for refined risk assessment and prognostication methods. The …

Cardiovascular diseases (CD), or heart diseases (HD), lead to approximately 17.9 million
deaths each year, constituting 32% of global fatalities. Early detection and appropriate …

Background Obesity, now the fifth leading global cause of death, has seen a dramatic rise in
prevalence over the last forty years. It significantly increases the risk of diseases such as …

Heart disease continues to be a prominent cause of death globally, emphasizing the critical
requirement for precise prediction techniques and prompt therapies. This research presents …

The early detection and accurate diagnosis of cardiovascular diseases is vital to reduce
global morbidity and death rates. In this work, the quantum-inspired seagull optimization …

Background Heart disease is one of the most recurrent and worrying health problems today,
due to its multiple complications, including: stroke, cardiac arrest, retinopathy, etc. Objective …