Myocardial infarction, commonly known as heart attack, is one of the most common heart
diseases prevailing in the human world. Heart or cardiac disease is one of the leading …

Coronary heart disease is one of the major causes of deaths around the globe. Predicating a
heart disease is one of the most challenging tasks in the field of clinical data analysis …

Heart disease is a significant global cause of mortality, and predicting it through clinical data
analysis poses challenges. Machine learning (ML) has emerged as a valuable tool for …

Abstract Coronary Heart Disease (CHD) is a life-threatening public health problem. Many
chronic CHDs and health risks can be avoided, reversed, and reduced with proper risk …

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 …

Detecting cardiovascular irregularities in a timely manner is crucial for preventing any fatal
risks. This research aims to devise an efficient forecasting algorithm for the timely prognosis …

Heart disease (HD) is a major threat to human health, and the medical field generates vast
amounts of data that doctors struggle to effectively interpret and use. Early prediction and …

The generation of a huge volume of structured, semi-structured and unstructured real-time
health monitoring data and its storage in the form of electronic health records (EHRs) need …

Prediction of heart diseases on time is significant in order to preserve life. Many
conventional methods have taken efforts on earlier prediction but faced with challenges of …

Heart disease is one of the leading killers that are widely recognized throughout the globe.
Large volumes of clinical data are stored in a variety of systems and biological equipment at …