Cardiovascular diseases (CVDs) remain a leading cause of morbidity and mortality
worldwide. Effective prevention and management strategies are essential to reduce the …

Background Various predictive models have been developed for predicting the incidence of
coronary heart disease (CHD), but none of them has had optimal predictive value. Although …

Heart diseases (HD) in humans are the most common cause of death. In the current global
environment, the early detection of HD is a challenging process. The goal of this work is to …

INTRODUCTION: Cardiovascular disease is a major concern and pressing issue faced by
the healthcare sector globally. According to a survey conducted by the WHO every year …

Cardiovascular disease (CVD) is the leading cause of death globally, demanding accurate
risk prediction models for early intervention and prevention. This project aimed to develop a …

Globally, cardiovascular diseases (CVDs) rank among the leading causes of mortality. One
out of every three deaths is attributed to cardiovascular disease, according to new World …

Despite medical advancements in recent years, cardiovascular diseases (CVDs) remain a
major factor in rising mortality rates, challenging predictions despite extensive expertise. The …

One of the leading causes of mortality worldwide is cardiovascular disease (CVD).
Electrocardiography (ECG) is a noninvasive and cost-effective tool to diagnose the heart's …

Cardiovascular disease (CVD) is one of the most contributing diseases to premature
mortality around the globe. Low-and middle-income countries like India account for almost …

Background: Today, cardiovascular disease (CVD) is the most important cause of death
around the world. In this study, our main aim was to predict CVD using some of the most …