Dual-Layer Deep Ensemble Techniques for Classifying Heart Disease Page 1 Information
Technology and Control 2022/1/51 158 Dual-Layer Deep Ensemble Techniques for …

We investigate the relevance of medical and demographic information in predicting the
presence of heart disease in an individual. We apply a variety of ensemble and deep …

Heart disease is a leading global cause of mortality, demanding early detection for effective
and timely medical intervention. In this study, we propose a machine learning-based model …

According to World Health Organization, heart disease is the principal cause of death. In the
medical domain, to improve diagnosis accuracy researchers have introduced several data …

Heart diseases are highly ranked among the leading causes of mortality in the world. They
have various types including vascular, ischemic, and hypertensive heart disease. A large …

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 …

Heart diseases are one of the crucial diseases that may cause fatality in both men and
women. About 12 million deaths occur across the world due to heart diseases. With the …

Cardiovascular diseases (CVDs) are group disorders affecting the heart or involving
constricted blood arteries. Early disease detection increases the likelihood of survival. As a …

Cardiovascular disease (CVD) or heart disease is one of the most fatal diseases of the world
that has been observed through-out the last decade. The prediction of CVD in majority of …

With the vast advancements in the medical domain, earlier prediction of disease plays a
substantial role in enhancing the healthcare quality and assists in taking better decisions …