The accurate prediction of cardiovascular disease is an essential and challenging task to
treat a patient efficiently before occurring a heart attack. In recent times, various intelligent …

Medical science-related studies have reinforced that the prevalence of coronary heart
disease which is associated with the heart and blood vessels has been the most significant …

Background Coronary artery disease (CAD) is one of the crucial reasons for cardiovascular
mortality in middle-aged people worldwide. The most typical tool is angiography for …

In the realm of medical diagnostics, accurate classification of coronary artery disease (CAD)
remains a critical challenge. This research presents a novel approach to enhance CAD …

Abstract Intrusion Detection Systems (IDSs) are crucial for safeguarding modern IoT
communication networks against cyberattacks. IDSs must exhibit exceptional performance …

Cardiac disease is the predominant cause of global death mainly due to its hidden
symptoms and late diagnosis. Hence, early detection is important to improve quality of life …

Attribute selection is the process of selecting relevant attributes being used in model
construction to enhance model accuracy. For general medical oriented classification …

Currently, the computational disease diagnostic models are mainly for approximating the
non-linear complex sensitive patterns in the medical data. For the most accurate diagnostic …

Abstract Paroxysmal Atrial Fibrillation (PAF) is a special class of Atrial Fibrillation. Predicting
PAF events from electrocardiogram (ECG) signal streams plays a vital role in generating real …

Cardiovascular disease (CVD) is considered one of the significant global health challenges,
affecting individuals and societies worldwide. This paper aims to address the challenge of …