The significant increase in the number of individuals with chronic ailments (including the
elderly and disabled) has dictated an urgent need for an innovative model for healthcare …

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 …

The Internet of Things confers seamless connectivity between people and objects, and its
confluence with the Cloud improves our lives. Predictive analytics in the medical domain can …

The numerical value of k in a k-fold cross-validation training technique of machine learning
predictive models is an essential element that impacts the model's performance. A right …

The accurate prediction of heart disease is essential to efficiently treating cardiac patients
before a heart attack occurs. This goal can be achieved using an optimal machine learning …

The rapid growth and adaptation of medical information to identify significant health trends
and help with timely preventive care have been recent hallmarks of the modern healthcare …

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 …

Early detection of heart complications is highly effective in treating patients with
cardiovascular diseases. Various machine learning methods have previously been used for …

Coronary heart disease (CHD) is a major public health problem affecting a nation's
economic and social development. Risk assessing CHD in a timely manner helps to stop …

The accurate prediction of cardiovascular disease is an essential and challenging task to
treat a patient efficiently before occurring a heart attack. In recent times, various intelligent …