Classification of Alzheimer's disease based on brain MRI and machine learning

Z Fan, F Xu, X Qi, C Li, L Yao - Neural Computing and Applications, 2020 - Springer
Alzheimer's disease (AD) is one of the most common diseases in the world. It is a
neurodegenerative disease that can cause cognitive impairment and memory deterioration …

[PDF][PDF] Diagnosis of Alzheimer's Disease using Machine Learning Algorithms

CHD Rao, GH Charan, G Mounika, KK Sri, PNK Reddy… - academia.edu
Alzheimer's disease (AD) is one of the most common neurodegenerative diseases and is
considered to be the main cause of cognitive impairment in elderly people. It is a …

MRI-based machine learning system allows for early diagnosis of Alzheimer's disease using a new algorithm

T Castiglione - McMaster Brain Research Society, 2023 - journals.mcmaster.ca
The majority of dementia cases are due to Alzheimer's disease (AD), characterized by a
continuous and irreversible decline in cognitive abilities. ¹ Alzheimer's cases are on the rise …

Automatic classification of cognitively normal, mild cognitive impairment and Alzheimer's disease using structural MRI analysis

VPS Rallabandi, K Tulpule, M Gattu… - Informatics in Medicine …, 2020 - Elsevier
Background and objective Early detection of dementia for clinical diagnosis is challenging
due to high subjectivity and individual variability in cognitive assessments, as well as the …

Early diagnosis of Alzheimer's disease using machine learning: a multi-diagnostic, generalizable approach

VS Diogo, HA Ferreira, D Prata… - Alzheimer's Research & …, 2022 - Springer
Background Early and accurate diagnosis of Alzheimer's disease (AD) is essential for
disease management and therapeutic choices that can delay disease progression. Machine …

CNN-based MRI analysis of Alzheimer's disease

S Xu - Highlights in Science, Engineering and Technology, 2022 - drpress.org
The dementia known as Alzheimer's disease (AD) damages the brain. It is very common and
almost irreversible in the population, and to date, there is no definitive diagnosis and no …

Magnetic resonance imaging biomarkers for the early diagnosis of Alzheimer's disease: a machine learning approach

C Salvatore, A Cerasa, P Battista, MC Gilardi… - Frontiers in …, 2015 - frontiersin.org
Determination of sensitive and specific markers of very early AD progression is intended to
aid researchers and clinicians to develop new treatments and monitor their effectiveness, as …

Machine Learning in Cognitive Neuroscience: A Promising Approach for Early Detection of Alzheimer's Disease

G Orrù, A Piarulli, C Conversano, A Gemignani - 2024 - arpi.unipi.it
Background: Alzheimer's disease (AD) is the most common cause of dementia, affecting a
significant number of individuals globally. AD is classified as a subtype of dementia, a …

A Comprehensive Study on Early Alzheimer's Disease Detection through Advanced Machine Learning Techniques on MRI Data

Q Lin, C Che, H Hu, X Zhao, S Li - Academic Journal of Science and …, 2023 - drpress.org
Alzheimer's Disease (AD) is a neurodegenerative condition affecting predominantly elderly
individuals, repre-senting the most common cause of dementia. Early clinical manifestations …

UNLOCKING NEUROLOGICAL MYSTERIES: MACHINE LEARNING APPROACHES to EARLY DETECTION of ALZHEIMER'S DISEASE

C Ünal, Y Gökşen - Güvenlik Bilimleri Dergisi, 2024 - dergipark.org.tr
Dementia is a clinical illness that becomes more common as people get older. It is defined
by a decline in cognitive abilities across several domains and eventually impacts everyday …