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 …

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) poses a significant global health challenge, and accurate
inference methods are vital for early detection and intervention. However, the quality of …

One of the leading causes of mortality in the world is cardiovascular disease.
Electrocardiography (ECG) is a non-invasive tool for assessing heart function abnormalities …

Objective: To develop an optimized model for prediction of heart disease. Methods/findings:
The model has been built applying Customized Ensemble Voting Classifier where the …

Анотація Серцево-судинні захворювання (ССЗ) продовжують бути провідною причиною
летальних випадків та інвалідизації на глобальному рівні, становлячи загрозу для …

Aims As cardiovascular disease (CVD) is a leading cause of death for patients with diabetes
mellitus (DM), we aimed to find important factors that predict cardiovascular (CV) risk using a …