If the blood circulation of the heart is not adequate then it causes arrhythmias and
Congestive Heart Failure (CHF) which requires immediate medical attention or else it leads …

Electrocardiogram (ECG) is an important noninvasive diagnostic method for interpretation
and identification of various kinds of heart diseases. In this work, a new Deep Learning (DL) …

Congestive heart failure (CHF) is a chronic heart condition with heart function decline
caused by various heart diseases that requires long-term treatment and affects personal life …

Congestive heart failure (CHF) is a chronic heart condition associated with debilitating
symptoms that result in increased mortality, morbidity, healthcare expenditure and …

Abstract In humans, Congestive Heart Failure (CHF) refers to the chronic progressive
condition that drastically influences the pumping potentiality of the heart muscle. This CHF …

Heart failure (HF) is a disease that is harmful to human health. Recent advances in machine
learning yielded new techniques to train deep neural networks, which resulted in highly …

Heart diseases are leading to death across the globe. Exact detection and treatment for
heart disease in its early stages could potentially save lives. Electrocardiogram (ECG) is one …

Heart failure (HF) is a serious condition in which the heart fails to supply the body with
enough oxygen and nutrients to function normally. Early and accurate detection of heart …

Coronary artery disease (CAD) is the most common cause of heart disease globally. This is
because there is no symptom exhibited in its initial phase until the disease progresses to an …

Deep Learning (DL) has become a topic of study in various applications, including
healthcare. The important factors considered in building a deep learning model are …