Cardiovascular disease (CVD) is a variety of diseases that affect the blood vessels and the
heart. The authors propose a set of deep learning inspired by the approach used in CVD …

One of the most challenging tasks for clinicians is detecting symptoms of cardiovascular
disease as earlier as possible. Many individuals worldwide die each year from …

Abstract World Health Organization reports that cardiovascular disease is the major cause of
death. Cardiovascular disease is responsible for around 31% of global deaths, resulting in …

Coronary Heart disease is the major factor for people's deaths throughout the world, and it is
necessary to detect and predict the disease in the earlier stages because time plays a vital …

During the whole cardiac cycle, heart sounds are created, and blood enters the heart
chambers as the cardiac regulators open and close. Blood flow produces aural noises; the …

The newer technologies such as data mining, machine learning, artificial intelligence and
data analytics have revolutionized medical sector in terms of using the existing big data to …

The cardiovascular related diseases can however be controlled through earlier detection as
well as risk evaluation and prediction. In this paper the application of deep learning methods …

Cardiovascular disease (CVD) is an all-encompassing term for situations affecting the heart
or blood vessels. This is commonly associated with an accumulation of fatty deposits within …

Cardiovascular disease is one of the most horrendous illnesses, particularly the silent heart
attack that strikes a person so abruptly that there is no time for treatment. It's difficult to …

Cardiovascular disease (CVD), includes a number of conditions that affect the heart and, in
recent decades, has been the leading cause of death worldwide. Heart disease is linked to a …