Alzheimer's disease diagnosis using machine learning: a survey
OA Dara, JM Lopez-Guede, HI Raheem, J Rahebi… - Applied Sciences, 2023 - mdpi.com
Alzheimer's is a neurodegenerative disorder affecting the central nervous system and
cognitive processes, explicitly impairing detailed mental analysis. Throughout this condition …
cognitive processes, explicitly impairing detailed mental analysis. Throughout this condition …
Deep learning based computer aided diagnosis of Alzheimer's disease: a snapshot of last 5 years, gaps, and future directions
A Bhandarkar, P Naik, K Vakkund… - Artificial Intelligence …, 2024 - Springer
Alzheimer's disease affects around one in every nine persons among the elderly population.
Being a neurodegenerative disease, its cure has not been established till date and is …
Being a neurodegenerative disease, its cure has not been established till date and is …
Alzheimer disease detection techniques and methods: a review
Brain pathological changes linked with Alzheimer's disease (AD) can be measured with
Neuroimaging. In the past few years, these measures are rapidly integrated into the …
Neuroimaging. In the past few years, these measures are rapidly integrated into the …
Machine learning techniques for the diagnosis of Alzheimer's disease: A review
Alzheimer's disease is an incurable neurodegenerative disease primarily affecting the
elderly population. Efficient automated techniques are needed for early diagnosis of …
elderly population. Efficient automated techniques are needed for early diagnosis of …
[HTML][HTML] Advancements in computer-assisted diagnosis of Alzheimer's disease: A comprehensive survey of neuroimaging methods and AI techniques for early …
Alzheimer's Disease (AD) is a brain disorder that causes the brain to shrink and eventually
causes brain cells to die. This neurological condition progressively hampers cognitive and …
causes brain cells to die. This neurological condition progressively hampers cognitive and …
[PDF][PDF] Alzheimer's Disease Early Detection Using Machine Learning Techniques
Alzheimer's is the main reason for dementia, that affects frequently older adults. This disease
is costly especially, in terms of treatment. In addition, Alzheimer's is one of the deaths causes …
is costly especially, in terms of treatment. In addition, Alzheimer's is one of the deaths causes …
Hybridized deep learning approach for detecting Alzheimer's disease
Alzheimer's disease (AD) is mainly a neurodegenerative sickness. The primary
characteristics are neuronal atrophy, amyloid deposition, and cognitive, behavioral, and …
characteristics are neuronal atrophy, amyloid deposition, and cognitive, behavioral, and …
Machine learning techniques for diagnosis of alzheimer disease, mild cognitive disorder, and other types of dementia
Alzheimer's disease (AD) is one of the most common form of dementia which mostly affects
elderly people. AD identification in early stages is a difficult task in medical practice and …
elderly people. AD identification in early stages is a difficult task in medical practice and …
An efficient way of identifying alzheimer's disease using deep learning techniques
Alzheimer's disease has recently emerged as a big worry. This condition affects around 45
million people. Alzheimer's disease is a deteriorating brain illness through an unknown …
million people. Alzheimer's disease is a deteriorating brain illness through an unknown …
Use of artificial intelligence in Alzheimer's disease detection
A Subasi - Artificial intelligence in precision health, 2020 - Elsevier
Alzheimer's disease (AD) is one of the most prevalent dementia types affecting the elderly
population. On-time detection of the AD is valuable to find new approaches for the AD …
population. On-time detection of the AD is valuable to find new approaches for the AD …