Abstract Machine learning involves artificial intelligence, and it is used in solving many
problems in data science. One common application of machine learning is the prediction of …

Cardiovascular disease is one of the biggest cause for morbidity and mortality among the
population of the world. Prediction of cardiovascular disease is regarded as one of the most …

Nowadays, heart diseases are significantly contributing to deaths all over the world. Thus,
heart-disease prediction has garnered considerable attention in the medical domain …

During the past years, the increase in scientific knowledge and the massive data production
have caused an exponential growth in databases and repositories. Biomedical domain …

This paper presents a majority voting ensemble method that is able to predict the possible
presence of heart disease in humans. The prediction is based on simple affordable medical …

Medical data is one of the most rewarding and yet most complicated data to analyze. How
can healthcare providers use modern data analytics tools and technologies to analyze and …

Cardiovascular disease prediction aids practitioners in making more accurate health
decisions for their patients. Early detection can aid people in making lifestyle changes and, if …

In today's digital world the information surges with the widespread use of the internet and
global communication systems. Healthcare systems are also facing digital transformations …

Coronary artery disease (CAD) is a leading cause of death worldwide and is associated with
high healthcare expenditure. Researchers are motivated to apply machine learning (ML) for …

The contemporary evolution in healthcare technologies plays a considerable and significant
role to improve medical services and save human lives. Heart disease or cardiovascular …