Machine learning models are used to create and enhance various disease prediction
frameworks. Ensemble learning is a machine learning technique that combines multiple …

There is a consistent rise in chronic diseases worldwide. These diseases decrease immunity
and the quality of daily life. The treatment of these disorders is a challenging task for medical …

Skin cancer these days have become quite a common occurrence especially in certain
geographic areas such as Oceania. Early detection of such cancer with high accuracy is of …

Chronic kidney disease (CKD) has become a major global health crisis, causing millions of
yearly deaths. Predicting the possibility of a person being affected by the disease will allow …

Cervical cancer is a common cancer that affects women all over the world. This is the fourth
leading cause of death among women and has no symptoms in its early stages. At the …

Medical disease classification using machine learning algorithms is a challenging task due
to the nature of data, which can contain incomplete, uncertain, and imprecise information …

This study presents an enhanced deep learning approach for the accurate detection of
eczema and psoriasis skin conditions. Eczema and psoriasis are significant public health …

In recent decades, machine learning algorithms have been used in different fields; one of
the most used fields is the health sector. Biomedical data are usually extensive in size, and …

In the USA, each year, almost 5.4 million people are diagnosed with skin cancer. Melanoma
is one of the most dangerous types of skin cancer, and its survival rate is 5%. The …

Abstract Recently, Bayesian Optimization (BO) has emerged as an efficient technique for
adjusting the hyperparameters of machine learning models. BO approach develops an …