In the era of advancement in information technology and the smart healthcare industry 5.0,
the diagnosis of human diseases is still a challenging task. The accurate prediction of …

Diabetes is among the most common medical issues which people are facing nowadays. It
may cause physical incapacity or even death in some cases. It has two core types, namely …

Around the world, several lung diseases such as pneumonia, cardiomegaly, and
tuberculosis (TB) contribute to severe illness, hospitalization or even death, particularly for …

Automatic classification of breast histopathology images plays a key role in computer-aided
breast cancer diagnosis. However, feature-based classification methods rely on the accurate …

Due to the rapid rate of SARS-CoV-2 dissemination, a conversant and effective strategy
must be employed to isolate COVID-19. When it comes to determining the identity of COVID …

Globally, breast cancer is one of the most significant causes of death among women. Early
detection accompanied by prompt treatment can reduce the risk of death due to breast …

Due to the presence of redundant and irrelevant features in large-dimensional biomedical
datasets, the prediction accuracy of disease diagnosis can often be decreased. Therefore, it …

An epidemic is a quick and widespread disease that threatens many lives and damages the
economy. The epidemic lifetime should be accurate so that timely and remedial steps are …

Early detection is a key step for effective treatment of breast cancer and computer-aided
diagnosis (CAD) is the most common tool used by the medical research community to detect …

Data mining techniques such as classification, clustering, and prediction are used
extensively for medical diagnosis in epidemiological fields. A hybrid model based on Factor …