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 …
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 …
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
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 …
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
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 …
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
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 …
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
Early detection of Alzheimer's disease (AD) is essential for developing effective treatments.
Neuroimaging techniques like Magnetic Resonance Imaging (MRI) have the potential to …
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 …
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
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 …
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 …
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 …
receive timely treatment and slow down the deterioration. This paper proposed a …