Introduction Cardiovascular disease (CVD) stands as a pervasive catalyst for illness and
mortality on a global scale, underscoring the imperative for sophisticated prediction …

Developing a predictive model for detecting cardiovascular diseases (CVDs) is crucial due
to its high global fatality rate. With the advancements in artificial intelligence, the availability …

Paralysis and stroke are debilitating medical conditions that can have life-altering
consequences if not detected and treated early. Predictive models should be developed for …

Increased life expectancy and an aging population with exponentially growing cases of age-
related ocular and systemic diseases, including multimorbidity, represent a public health …

Positive characteristics physicians utilize electrocardiograms (ECGs) for the interpretation
and diagnosis of cardiac conditions. Hence, it is imperative to automate the analyses of ECG …