The accurate diagnosis of heart failure in emergency room patients is quite important, but
can also be quite difficult due to our insufficient understanding of the characteristics of heart …

Artificial Intelligence (AI) performs human intelligence-dependant tasks using tools such as
Machine Learning, and its subtype Deep Learning. AI has incorporated itself in the field of …

Heart disease is one of the most common diseases in the world. The objective of this study is
to aid the diagnosis of heart disease using a hybrid classification system based on the …

Heart disease prediction has been a significant research over the past decade, because the
major cause of death worldwide is due to heart disease. To predict the heart disease …

In a modern life, early healthcare prediction plays an important role to prevent the loss of life
caused by prediction delays in treatment. Nowadays, the researchers focused on the Big …

For the past two decades, most of the people from developing countries are suffering from
heart disease. Diagnosing these diseases at earlier stages helps patients reduce the risk of …

Heart disease is the leading cause of death among both men and women in most countries
in the world. Thus, people must be mindful of heart disease risk factors. Although genetics …

In this study, a computerized diagnosis system is developed using Rough set classifier from
multi-lead ECG signal for detection as well as the classification of five different types of …

Cardiac diseases are one of the foremost reasons of mortality. Hence, the early detection of
cardiac diseases based on electrocardiogram (ECG) is important for delivering appropriate …

Rough sets (Pawlak Z. Rough Sets: Theoretical Aspects of Reasoning about Data,
Dordrecht: Kluwer Academic Publishers, 1991) is a relatively new approach to representing …