Artificial intelligence-based diagnosis of Alzheimer's disease with brain MRI images

Z Yao, H Wang, W Yan, Z Wang, W Zhang… - European Journal of …, 2023 - Elsevier
Alzheimer's disease, a primary neurodegenerative condition, predominantly impacts the
elderly and pre-elderly population. This progressive neurological disorder is characterized …

Aligning strategies for using EEG as a surrogate biomarker: a review of preclinical and clinical research

SC Leiser, J Dunlop, MR Bowlby… - Biochemical pharmacology, 2011 - Elsevier
Electroencephalography (EEG) and related methodologies offer the promise of predicting
the likelihood that novel therapies and compounds will exhibit clinical efficacy early in …

[HTML][HTML] An intelligent learning system for unbiased prediction of dementia based on autoencoder and adaboost ensemble learning

A Javeed, AL Dallora, JS Berglund, P Anderberg - Life, 2022 - mdpi.com
Dementia is a neurological condition that primarily affects older adults and there is still no
cure or therapy available to cure it. The symptoms of dementia can appear as early as 10 …

[HTML][HTML] Early prediction of dementia using feature extraction battery (feb) and optimized support vector machine (svm) for classification

A Javeed, AL Dallora, JS Berglund, A Idrisoglu, L Ali… - Biomedicines, 2023 - mdpi.com
Dementia is a cognitive disorder that mainly targets older adults. At present, dementia has
no cure or prevention available. Scientists found that dementia symptoms might emerge as …

[HTML][HTML] Breaking barriers: a statistical and machine learning-based hybrid system for predicting dementia

A Javeed, P Anderberg, AN Ghazi, A Noor… - … in Bioengineering and …, 2024 - frontiersin.org
Introduction: Dementia is a condition (a collection of related signs and symptoms) that
causes a continuing deterioration in cognitive function, and millions of people are impacted …

[HTML][HTML] Late combination shows that MEG adds to MRI in classifying MCI versus controls

D Vaghari, E Kabir, RN Henson - Neuroimage, 2022 - Elsevier
Early detection of Alzheimer's disease (AD) is essential for developing effective treatments.
Neuroimaging techniques like Magnetic Resonance Imaging (MRI) have the potential to …

A new classifier fusion method based on historical and on-line classification reliability for recognizing common CT imaging signs of lung diseases

L Ma, X Liu, L Song, C Zhou, X Zhao, Y Zhao - … Medical Imaging and …, 2015 - Elsevier
Common CT imaging signs of lung diseases (CISL) play important roles in the diagnosis of
lung diseases. This paper proposes a new method of multiple classifier fusion to recognize …

Brain functional network in Alzheimer′ s disease: diagnostic markers for diagnosis and monitoring

G Rodriguez, D Arnaldi, A Picco - International Journal of …, 2011 - Wiley Online Library
Alzheimer′ s disease (AD) is the most common type of dementia that is clinically
characterized by the presence of memory impairment and later by impairment in other …

Annual research review: progress in using brain morphometry as a clinical tool for diagnosing psychiatric disorders

A Haubold, BS Peterson… - Journal of Child …, 2012 - Wiley Online Library
Brain morphometry in recent decades has increased our understanding of the neural bases
of psychiatric disorders by localizing anatomical disturbances to specific nuclei and …

A double layer dementia diagnosis system using machine learning techniques

PC Cho, WH Chen - Engineering Applications of Neural Networks: 13th …, 2012 - Springer
Studies show that dementia is highly age-associated. Early diagnosis can help patient to
receive timely treatment and slow down the deterioration. This paper proposed a …