Detecting cardiovascular irregularities in a timely manner is crucial for preventing any fatal
risks. This research aims to devise an efficient forecasting algorithm for the timely prognosis …

In recent years, there has been a notable surge in the prevalence of cardiovascular
diseases (CVD), presenting a significant global public health challenge and a leading cause …

Heart failure is a chronic disease affecting millions worldwide. An efficient machine learning-
based technique is needed to predict heart failure health status early and take necessary …

Coronary Heart Disease (CHD) is reported to be one of the world's deadliest diseases. Early
prediction or detection and diagnosis of the disease can help prevent, cure, and reduce the …

Heart disease is a significant global health issue, contributing to high morbidity and mortality
rates. Early and accurate heart disease prediction is crucial for effectively preventing and …

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 …

Early identification of coronary artery disease (CAD) can prevent the progress of CAD and
effectually lower the mortality rate, so we intended to construct and validate a machine …

Introduction This study developed a novel risk assessment model to predict the occurrence
of cardiovascular disease (CVD) events. It uses a Genetic Algorithm (GA) to develop an easy …

To design a framework for effective prediction of heart disease based on ensemble
techniques, without the need of feature selection, incorporating data balancing, outlier …

Heart disease (HD) has become a dangerous problem and one of the most significant
mortality factors worldwide, which requires an expensive and sophisticated detection …