Enhancing cardiovascular disease prediction: A hybrid machine learning approach integrating
oversampling and adaptive boosting t Page 1 AIMS Medical Science, 11(2): 58–71. DOI …

The heart, which is considered to be the second most vital organ after the brain, is of great
importance to the human body. Heart attack, also known as myocardial infarction, is a …

Heart disorders, often referred to as cardiovascular diseases (CVDs), are the leading cause
of mortality and a serious public health issue. The World Health Organization (WHO) …

Cardiovascular disease is the leading cause of global mortality and responsible for millions
of deaths annually. The mortality rate and overall consequences of cardiac disease can be …

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

As of the release of COVID-19, cardiovascular disease has surpassed all other causes of
mortality among both sexes. In most cases, this condition is associated with atherosclerosis …

Many lives can be saved if disease can be detected at earlier stage. Heart disease
diagnosis using traditional medical history is not reliable as your doctor will perform a series …

The number of people affected due to Cardiovascular diseases has escalated in recent
years. The sedentary lifestyle, certain genetic factors, obesity, lack of exercise and stressful …

Cardiovascular diseases (CVDs) remain a leading cause of morbidity and mortality globally.
Early and accurate prediction of CVD risk is crucial for preventive interventions and …

According to the World Health Organization (WHO), the leading cause of mortality in the
modern world is cardiovascular disease (CVD). This disease is responsible for the death of …