Alzheimer's disease is an incurable neurodegenerative disease primarily affecting the
elderly population. Efficient automated techniques are needed for early diagnosis of …

This paper presents the top 10 data mining algorithms identified by the IEEE International
Conference on Data Mining (ICDM) in December 2006: C4. 5, k-Means, SVM, Apriori, EM …

Feature selection becomes prominent, especially in the data sets with many variables and
features. It will eliminate unimportant variables and improve the accuracy as well as the …

Currently, we witness the severe spread of the pandemic of the new Corona virus, COVID-
19, which causes dangerous symptoms to humans and animals, its complications may lead …

Alzheimer's disease effects human brain cells and results in dementia. The gradual
deterioration of the brain cells results in disability of performing daily routine tasks. The …

Many classical machine learning techniques have been used to explore Alzheimer's
disease (AD), evolving from image decomposition techniques such as principal component …

We developed a novel computer-aided diagnosis (CAD) system that uses feature-ranking
and a genetic algorithm to analyze structural magnetic resonance imaging data; using this …

The origin of dementia can be largely attributed to Alzheimer's disease (AD). The
progressive nature of AD causes the brain cell deterioration that eventfully leads to physical …

Computerized healthcare has undergone rapid development thanks to the advances in
medical imaging and machine learning technologies. Especially, recent progress on deep …

Alzheimer's Disease (AD) is the most common form of dementia. It gradually increases from
mild stage to severe, affecting the ability to perform common daily tasks without assistance. It …