Cardiovascular diseases present a significant global health challenge that emphasizes the
critical need for developing accurate and more effective detection methods. Several studies …

In the medical domain, early identification of cardiovascular issues poses a significant
challenge. This study enhances heart disease prediction accuracy using machine learning …

Cardiovascular disease remains a leading cause of mortality in the contemporary world. Its
association with smoking, elevated blood pressure, and cholesterol levels underscores the …

Researchers have created several expert systems over the years to predict heart disease
early and assist cardiologists to enhance the diagnosis process. We present a diagnostic …

The identification and prognosis of the potential for developing Cardiovascular Diseases
(CVD) in healthy individuals is a vital aspect of disease management. Accessing the …

Heart-related anomalies are among the most common causes of death worldwide. Patients
are often asymptomatic until a fatal event happens, and even when they are under …

Background Heart disease is one of the most frequent chronic ailments people suffer. Early
identification can lower death rates by avoiding or lowering cardiovascular disease (CVD) …

In today's world, heart disease is the leading cause of death globally. Researchers have
proposed various methods aimed at improving the accuracy and efficiency of the clinical …

Heart disease is one the leading causes of death globally, making the early detection of it
crucial. Emerging technologies such as machine learning and deep learning are now being …

Cardiovascular disease is a dangerous disorder that causes the most significant number of
deaths across the world. In the past years, researchers proposed several automated …