Abstract In Machine Learning (ML), Feature Selection (FS) plays a crucial part in reducing
data's dimensionality and enhancing any proposed framework's performance. However, in …

Alzheimer's disease is a common and complex brain disorder that primarily affects the
elderly. Because it is progressing and has few effective therapies, it requires a thorough …

The most common causes of blindness in adults worldwide, 2.6% of them are caused by
diabetic retinopathy, which is a progressive disease caused by complications of diabetes …

Diabetic retinopathy (DR) stands as a leading cause of global blindness. Early identification
and prompt treatment are essential to prevent vision impairment caused by DR. Manual …

Diabetic Retinopathy (DR) is an intricacy of diabetes that affects the eyes. In this paper, we
have proposed a hybrid pre-processing and feature extraction technique named as …

This book explores the application of machine learning to the understanding, early
diagnosis, and management of neurodegenerative disorders. With a specific focus on its …

Recently, big data on the phenomenon observed was gained easily. Nevertheless, this data
certainly has a high dimensional due to the enormous features involved. Consequently, the …

The diagnosis of retinal diseases using the vasculature of Fundus images has long been a
focus of both ophthalmologists and medical research. Using computer-aided techniques to …

Alzheimer's disease is a progressive neurological disorder marked by memory loss and
cognitive decline. Using neuroimaging data from the Alzheimer's Disease Neuroimaging …

Machine learning models have proven their use in the medical field, assisting physicians in
early diagnosis of serious diseases. Diabetic retinopathy is one of such diseases that could …