AIMC Topic: Alzheimer Disease
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Brain MRI analysis using a deep learning based evolutionary approach.
Neural networks : the official journal of the International Neural Network Society
Mar 28, 2020
Convolutional neural network (CNN) models have recently demonstrated impressive performance in medical image analysis. However, there is no clear understanding of why they perform so well, or what they have learned. In this paper, a three-dimensional...
Identification of Methylated Gene Biomarkers in Patients with Alzheimer's Disease Based on Machine Learning.
BioMed research international
Mar 26, 2020
BACKGROUND: Alzheimer's disease (AD) is a neurodegenerative disorder and characterized by the cognitive impairments. It is essential to identify potential gene biomarkers for AD pathology.
Alzheimer Disease
Microfilament Proteins
Humans
DNA Methylation
Patients
Cyclin-Dependent Kinase Inhibitor p57
Machine Learning
Carrier Proteins
Peptide Hydrolases
Protein Tyrosine Phosphatases
Gene Expression Regulation, Neoplastic
DNA-Binding Proteins
Mitochondrial Proteins
Transcription Factors
Genetic Markers
Alzheimer's disease, mild cognitive impairment, and normal aging distinguished by multi-modal parcellation and machine learning.
Scientific reports
Mar 25, 2020
A 360-area surface-based cortical parcellation is extended to study mild cognitive impairment (MCI) and Alzheimer's disease (AD) from healthy control (HC) using the joint human connectome project multi-modal parcellation (JHCPMMP) proposed by us. We ...
Machine Learning Analysis of Digital Clock Drawing Test Performance for Differential Classification of Mild Cognitive Impairment Subtypes Versus Alzheimer's Disease.
Journal of the International Neuropsychological Society : JINS
Mar 23, 2020
OBJECTIVE: To determine how well machine learning algorithms can classify mild cognitive impairment (MCI) subtypes and Alzheimer's disease (AD) using features obtained from the digital Clock Drawing Test (dCDT).
A machine learning-based linguistic battery for diagnosing mild cognitive impairment due to Alzheimer's disease.
PloS one
Mar 5, 2020
There is a limited evaluation of an independent linguistic battery for early diagnosis of Mild Cognitive Impairment due to Alzheimer's disease (MCI-AD). We hypothesized that an independent linguistic battery comprising of only the language components...
A novel CNN based Alzheimer's disease classification using hybrid enhanced ICA segmented gray matter of MRI.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Feb 28, 2020
Predicting Alzheimer's Disease (AD) from Mild Cognitive Impairment (MCI) and Cognitive Normal (CN) has become wide. Recent advancement in neuroimaging in adoption with machine learning techniques are especially useful for pattern recognition of medic...
A combination of 3-D discrete wavelet transform and 3-D local binary pattern for classification of mild cognitive impairment.
BMC medical informatics and decision making
Feb 21, 2020
BACKGROUND: The detection of Alzheimer's Disease (AD) in its formative stages, especially in Mild Cognitive Impairments (MCI), has the potential of helping the clinicians in understanding the condition. The literature review shows that the classifica...
Multimodal Data Analysis of Alzheimer's Disease Based on Clustering Evolutionary Random Forest.
IEEE journal of biomedical and health informatics
Feb 11, 2020
Alzheimer's disease (AD) has become a severe medical challenge. Advances in technologies produced high-dimensional data of different modalities including functional magnetic resonance imaging (fMRI) and single nucleotide polymorphism (SNP). Understan...
Predicting sporadic Alzheimer's disease progression via inherited Alzheimer's disease-informed machine-learning.
Alzheimer's & dementia : the journal of the Alzheimer's Association
Feb 11, 2020
INTRODUCTION: Developing cross-validated multi-biomarker models for the prediction of the rate of cognitive decline in Alzheimer's disease (AD) is a critical yet unmet clinical challenge.
Modelling prognostic trajectories of cognitive decline due to Alzheimer's disease.
NeuroImage. Clinical
Jan 26, 2020
Alzheimer's disease (AD) is characterised by a dynamic process of neurocognitive changes from normal cognition to mild cognitive impairment (MCI) and progression to dementia. However, not all individuals with MCI develop dementia. Predicting whether ...
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