Cardiovascular disease is a substantial cause of mortality and morbidity in the world. In
clinical data analytics, it is a great challenge to predict heart disease survivor. Data mining …

The goal of this research is to develop a reliable decision-support system for the survival
prediction of heart failure patients by utilizing their clinical records and laboratory test results …

Heart failure is a chronic cardiac condition characterized by reduced supply of blood to the
body due to impaired contractile properties of the muscles of the heart. Like any other …

Studies have shown that heart diseases have emerged as the number one cause of deaths.
Heart disease is accountable for deaths in all age groups and is common among males and …

In the current era, Heart Failure (HF) is one of the common diseases that can lead to
dangerous situation. Every year almost 26 million of patients are affecting with this kind of …

Cardiac disease treatments are often being subjected to the acquisition and analysis of vast
quantity of digital cardiac data. These data can be utilized for various beneficial purposes …

Cardiovascular diseases (CVDs) or heart failure (HF) is a vital cause of death worldwide.
Approximately 17.9 million people die each year, and it accounts for 31% of global deaths in …

Heart Failure (HF) is a prevalent ailment worldwide, and despite significant medical
advancements in the past few decades, cardiovascular disease is still the leading cause of …

As a result of technology improvements, various features have been collected for heart
disease diagnosis. Large data sets have several drawbacks, including limited storage …

Cardiovascular diseases (CVDs) are a common cause of heart failure globally. The need to
explore possible ways to tackle the disease necessitated this study. The study designed a …