Chronic diseases are complex systems that can be described by various heteroscedastic
data that varies in time. The goal of this work is to determine whether historical data helps to …

In medical field, cardiac disease prediction remains as a complex task. Heart disease is the
major cause of death around the world. This study has surveyed various research papers …

The aim of this study was to address chronic heart failure (HF) diagnosis with the application
of machine learning (ML) approaches. In the present study, we simulated the procedure that …

The differential diagnosis between Ischemic Heart Disease (IHD) and Dilated
Cardiomyopathy (DCM), particularly in the early stages of the diseases, can often be difficult …

Heart disease has been the leading cause of a huge number of deaths in recent years. As a
result, an accurate and feasible system is required to diagnose this disease early to provide …

Heart Failure (HF) is a familiar disease that can rise to a dangerous situation in today's
world. It is currently one of the most dangerous heart diseases in humans, and it seriously …

Heart Disease has become one of the most serious diseases that has a significant impact on
human life. It has emerged as one of the leading causes of mortality among the people …

This paper presents a predictive analysis of data on heart disease patients to determine the
possible risk factors associated with their heart disease status. Two independent (but …

This paper represents the research results of applying machine learning methods for early
predicting of cardiovascular patients mortality. The classification task is solved by analyzing …

Background Cardiovascular diseases kill approximately 17 million people globally every
year, and they mainly exhibit as myocardial infarctions and heart failures. Heart failure (HF) …