Abstract Background and Motivation: Cardiovascular disease (CVD) causes the highest
mortality globally. With escalating healthcare costs, early non-invasive CVD risk assessment …

Heart is one of the most important part of the body. It helps to purify and circulate blood to all
parts of the body. Most number of deaths in the world are due to Heart Diseases. Some …

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 …

Healthcare is an inevitable task to be done in human life. Cardiovascular disease is a broad
category for a range of diseases that are affecting heart and blood vessels. The early …

In the present scenario, maximum causes of death are heart disease. Many researches are
taking place to detect all types of heart diseases at very early stage. Scientists are using …

Living beings are subjected to many hazards during their course of life. Owing to high
mortality rate, heart disease (HD) is among leading hazards for living being. It is world's one …

Heart disease is a serious medical problem that affects a large number of people and their
lives; cardiac disease (CAD) is one of these threats. There is no substantial study in medical …

One of the most difficult challenges in medicine is predicting heart disease at an early stage.
In this study, six machine learning (ML) algorithms, viz., logistic regression, K-nearest …

Cardiovascular diseases (CVD) are the most widely spread diseases all over the world
among the common chronic diseases. CVD represents one of the main causes of morbidity …

In healthcare system, the predictive modelling procedure for risk estimation of
cardiovascular disease is extremely challenging and an inevitable task. Therefore, the …