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Geriatrics Subcategories: Alzheimer's Disease Medicare

Showing 1177-1197 of 11,687 articles

Machine learning approaches to studying the role of cognitive reserve in conversion from mild cognitive impairment to dementia.

OBJECTIVES: The overall aim of the present study was to explore the role of cognitive reserve (CR) i...

Apr 2019 PMID: 30854737

Application of Artificial Neural Networks to Identify Alzheimer's Disease Using Cerebral Perfusion SPECT Data.

The aim of this study was to demonstrate the usefulness of artificial neural networks in Alzheimer d...

Apr 2019 PMID: 30979022

Machine learning based hierarchical classification of frontotemporal dementia and Alzheimer's disease.

BACKGROUND: In a clinical setting, an individual subject classification model rather than a group an...

Apr 2019 PMID: 30981204

Diagnostic accuracy of frontotemporal dementia. An artificial intelligence-powered study of symptoms, imaging and clinical judgement.

PURPOSE: Frontotemporal dementia (FTD) is a neurodegenerative disorder associated with a poor progno...

Apr 2019 PMID: 30952029

Deep Learning and Random Forest Approach for Finding the Optimal Traditional Chinese Medicine Formula for Treatment of Alzheimer's Disease.

It has demonstrated that glycogen synthase kinase 3β (GSK3β) is related to Alzheimer's disease (AD)....

Apr 2019 PMID: 30888812

Arterial Spin Labeling Images Synthesis From sMRI Using Unbalanced Deep Discriminant Learning.

Adequate medical images are often indispensable in contemporary deep learning-based medical imaging ...

Mar 2019 PMID: 30908201

Combining heterogeneous data sources for neuroimaging based diagnosis: re-weighting and selecting what is important.

Combining neuroimaging and clinical information for diagnosis, as for example behavioral tasks and g...

Mar 2019 PMID: 30894334

Deep convolutional neural networks for segmenting 3D in vivo multiphoton images of vasculature in Alzheimer disease mouse models.

The health and function of tissue rely on its vasculature network to provide reliable blood perfusio...

Mar 2019 PMID: 30865678

Harnessing the Power of Machine Learning in Dementia Informatics Research: Issues, Opportunities, and Challenges.

Dementia is a chronic and degenerative condition affecting millions globally. The care of patients w...

Mar 2019 PMID: 30872241

Early Alzheimer's disease diagnosis based on EEG spectral images using deep learning.

Early diagnosis of Alzheimer's disease (AD) is a proceeding hot issue along with a sharp upward tren...

Mar 2019 PMID: 30903945

NMD-12: A new machine-learning derived screening instrument to detect mild cognitive impairment and dementia.

INTRODUCTION: Using machine learning techniques, we developed a brief questionnaire to aid neurologi...

Mar 2019 PMID: 30849106

KGDDS: A System for Drug-Drug Similarity Measure in Therapeutic Substitution based on Knowledge Graph Curation.

Measuring drug-drug similarity is important but challenging. Significant progresses have been made i...

Mar 2019 PMID: 30834481

Detection of mild cognitive impairment in a community-dwelling population using quantitative, multiparametric MRI-based classification.

Early and accurate mild cognitive impairment (MCI) detection within a heterogeneous, nonclinical pop...

Feb 2019 PMID: 30803110

Hybrid multivariate pattern analysis combined with extreme learning machine for Alzheimer's dementia diagnosis using multi-measure rs-fMRI spatial patterns.

BACKGROUND: Early diagnosis of Alzheimer's disease (AD) and Mild Cognitive Impairment (MCI) is essen...

Feb 2019 PMID: 30794629

Geriatrics

Browse Categories

Machine learning approaches to studying the role of cognitive reserve in conversion from mild cognitive impairment to dementia.

Application of Artificial Neural Networks to Identify Alzheimer's Disease Using Cerebral Perfusion SPECT Data.

Machine learning based hierarchical classification of frontotemporal dementia and Alzheimer's disease.

Diagnostic accuracy of frontotemporal dementia. An artificial intelligence-powered study of symptoms, imaging and clinical judgement.

Deep Learning and Random Forest Approach for Finding the Optimal Traditional Chinese Medicine Formula for Treatment of Alzheimer's Disease.

Arterial Spin Labeling Images Synthesis From sMRI Using Unbalanced Deep Discriminant Learning.

Combining heterogeneous data sources for neuroimaging based diagnosis: re-weighting and selecting what is important.

Deep convolutional neural networks for segmenting 3D in vivo multiphoton images of vasculature in Alzheimer disease mouse models.

Harnessing the Power of Machine Learning in Dementia Informatics Research: Issues, Opportunities, and Challenges.

Early Alzheimer's disease diagnosis based on EEG spectral images using deep learning.

NMD-12: A new machine-learning derived screening instrument to detect mild cognitive impairment and dementia.

KGDDS: A System for Drug-Drug Similarity Measure in Therapeutic Substitution based on Knowledge Graph Curation.

Detection of mild cognitive impairment in a community-dwelling population using quantitative, multiparametric MRI-based classification.

Hybrid multivariate pattern analysis combined with extreme learning machine for Alzheimer's dementia diagnosis using multi-measure rs-fMRI spatial patterns.

Artificial intelligence in neuropathology: deep learning-based assessment of tauopathy.

Random forest prediction of Alzheimer's disease using pairwise selection from time series data.

Detection of abnormal behaviour for dementia sufferers using Convolutional Neural Networks.

New-Onset Alzheimer's Disease and Normal Subjects 100% Differentiated by P300.

Multi-task exclusive relationship learning for alzheimer's disease progression prediction with longitudinal data.

RNN-based longitudinal analysis for diagnosis of Alzheimer's disease.

Fluorescent silicon nanoparticles inhibit the amyloid fibrillation of insulin.

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