Abstract Machine learning technology is a prominent research field aiming to build a system
which imitates human intelligence. Machine learning can be applied in the healthcare …

Heart disease, one of the main reasons behind the high mortality rate around the world,
requires a sophisticated and expensive diagnosis process. In the recent past, much …

The most crucial task in the healthcare field is disease diagnosis. If a disease is diagnosed
early, many lives can be saved. Machine learning classification techniques can significantly …

The use of medical datasets has attracted the attention of researchers worldwide. Data
mining techniques have been widely used in developing decision support systems for …

We proposed a one-dimensional convolutional neural network (CNN) model, which divides
heart sound signals into normal and abnormal directly independent of ECG. The deep …

Automatic disease inference is of importance to bridge the gap between what online health
seekers with unusual symptoms need and what busy human doctors with biased expertise …

Accuracy plays a vital role in the medical field as it concerns with the life of an individual.
Extensive research has been conducted on disease classification and prediction using …

Abstract Background Cardiovascular diseases (CADs) are the first leading cause of death
across the world. World Health Organization has estimated that morality rate caused by …

Background Heart disease is the primary cause of morbidity and mortality in the world. It
includes numerous problems and symptoms. The diagnosis of heart disease is difficult …

Cardiovascular diseases are one of the most fatal diseases across the globe. Clinically,
conventional stethoscope is used to check the medical condition of a human heart. Only a …