Coronary artery disease prediction is considered to be one of the most challenging tasks in
the health care industry. In our research, we propose a prediction system to detect the heart …

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 disease is a dangerous disorder that causes the most significant number of
deaths across the world. In the past years, researchers proposed several automated …

Data analysis in medicine is becoming more and more frequent to clarify diagnoses, refine
research methods, and plan appropriate equipment supplies according to the importance of …

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

The diagnosis and prognosis of cardiovascular disease are crucial medical tasks to ensure
correct classification, which helps cardiologists provide proper treatment to the patient …

Cardiovascular Disease (CVD) is one among the main factors for the increase in mortality
rate worldwide. The analysis and prediction of this disease is yet a highly formidable task in …

Abstract Machine learning techniques are widely used in healthcare sectors to predict fatal
diseases. The objective of this research was to develop and compare the performance of the …

Disorders of the heart and blood vessels are named cardiovascular disease.'The heart's
proper functionality is of an utmost necessity for the survival of life. The death rate due to …

Coronary heart disease (CHD) is a dangerous condition that cannot be completely cured.
Accurate detection of early coronary artery disease can assist physicians in treating patients …