Accurate diagnosis and treatment of cardiovascular diseases require the integration of
cardiac imaging, which provides crucial information about the structure and function of the …

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 …

Heart disease, categorized as a cardiovascular condition, stands as a prominent factor in
worldwide mortality, accounting for approximately 32% of all deaths globally. It manifests …

Wireless Body Area Network (WBAN) is a trending technology of Wireless Sensor Networks
(WSN) to enhance the healthcare system. This system is developed to monitor individuals by …

Abstract Coronary Heart Disease (CHD) is a persistent health issue, and risk prognosis is
very important because it creates opportunities for doctors to provide early solutions. Despite …

In this computer world, huge data are generated in several fields. Statistics in the healthcare
engineering provides data about many diseases and corresponding patient's information …

Over the years, researchers have developed several expert systems to help cardiologists
improve the diagnostic process by predicting heart diseases early on. Most of the available …

Abstract Coronary Artery Disease (CAD) caused by atherosclerosis is having huge impact
and is considered an epidemic one in all over the world. Cardio vascular disease (CVD) in …

The relentless rise in heart disease incidence, a leading global cause of death, presents a
significant public health challenge. Precise prediction of heart disease risk and early …

Coronary artery disease poses a significant challenge in decision-making when predicting
the length of stay for a hospitalized patient. This study presents a predictive model—a …