Artificial Intelligence (AI) is widely implemented in healthcare 4.0 for producing early and
accurate results. The early predictions of disease help doctors to make early decisions to …

The early and accurate prediction of liver disease in patients is still a challenging task
among medical practitioners even with latest advanced technologies. The support vector …

Heart disease is one of the most common diseases in middle-aged citizens. Among the vast
number of heart diseases, coronary artery disease (CAD) is considered as a common …

Chronic diseases are increasing in prevalence and mortality worldwide. Early diagnosis has
therefore become an important research area to enhance patient survival rates. Several …

There has been a rapid growth in the use of automatic decision-making systems and tools in
the medical domain. By using the concepts of big data, deep learning, and machine …

One of the most critical steps in medical health is the proper diagnosis of the disease.
Dermatology is one of the most volatile and challenging fields in terms of diagnosis …

The healthy liver plays more than 500 organic roles in the human body, while a malfunction
may be dangerous or even deadly. Early diagnosis and treatment of liver disease can …

One of the most common and critical destructive attacks on the victim system is the
advanced persistent threat (APT)-attack. An APT attacker can achieve its hostile goal …

This paper proposes a robust classification model, based on support vector machine (SVM),
which simultaneously deals with outliers detection and feature selection. The classifier is …

The largest cause of mortality worldwide is heart disease, and early identification is critical in
limiting disease development. Early approaches for detecting cardiovascular illnesses …