Geriatrics

Alzheimer's Disease

Latest AI and machine learning research in alzheimer's disease for healthcare professionals.

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Geriatrics Subcategories: Alzheimer's Disease Medicare
Showing 1366-1386 of 11,687 articles
Learning Classification Models of Cognitive Conditions from Subtle Behaviors in the Digital Clock Drawing Test.

The Clock Drawing Test - a simple pencil and paper test - has been used for more than 50 years as a ...

Graph-guided joint prediction of class label and clinical scores for the Alzheimer's disease.

Accurate diagnosis of Alzheimer's disease and its prodromal stage, i.e., mild cognitive impairment, ...

Cerebrospinal fluid biomarkers in Alzheimer's disease: Diagnostic accuracy and prediction of dementia.

INTRODUCTION: Guidelines for the use of cerebrospinal fluid (CSF) biomarkers in the diagnosis of Alz...

Computer-Aided Diagnosis System for Alzheimer's Disease Using Different Discrete Transform Techniques.

The different discrete transform techniques such as discrete cosine transform (DCT), discrete sine t...

Assessing engagement in people with dementia: a new approach to assessment using video analysis.

The study of engagement in people with dementia is important to determine the effectiveness of inter...

A novel method for early diagnosis of Alzheimer's disease based on pseudo Zernike moment from structural MRI.

Alzheimer's disease (AD) is a progressive neurodegenerative disorder and the most common type of dem...

Prediction of Peptide and Protein Propensity for Amyloid Formation.

Understanding which peptides and proteins have the potential to undergo amyloid formation and what d...

Exploring multifractal-based features for mild Alzheimer's disease classification.

PURPOSE: Multifractal applications to resting state functional MRI (rs-fMRI) time series for diagnos...

Multiple kernel learning with random effects for predicting longitudinal outcomes and data integration.

Predicting disease risk and progression is one of the main goals in many clinical research studies. ...

A brief method for preparation of gintonin-enriched fraction from ginseng.

BACKGROUND: Ginseng has been used as a tonic for invigoration of the human body. In a previous repor...

Deep sparse multi-task learning for feature selection in Alzheimer's disease diagnosis.

Recently, neuroimaging-based Alzheimer's disease (AD) or mild cognitive impairment (MCI) diagnosis h...

Feature Selection Based on the SVM Weight Vector for Classification of Dementia.

Computer-aided diagnosis of dementia using a support vector machine (SVM) can be improved with featu...

A Robust Deep Model for Improved Classification of AD/MCI Patients.

Accurate classification of Alzheimer's disease (AD) and its prodromal stage, mild cognitive impairme...

Discriminative analysis of Parkinson's disease based on whole-brain functional connectivity.

Recently, there has been an increasing emphasis on applications of pattern recognition and neuroimag...

Boosting diagnosis accuracy of Alzheimer's disease using high dimensional recognition of longitudinal brain atrophy patterns.

OBJECTIVE: Boosting accuracy in automatically discriminating patients with Alzheimer's disease (AD) ...

Identification of a small set of plasma signalling proteins using neural network for prediction of Alzheimer's disease.

MOTIVATION: Alzheimer's disease (AD) is a dementia that gets worse with time resulting in loss of me...

Lokomat training in vascular dementia: motor improvement and beyond!

Vascular dementia (VaD) is a general term describing problems with reasoning, planning, judgment, me...

Multimodal analysis of functional and structural disconnection in Alzheimer's disease using multiple kernel SVM.

Alzheimer's disease (AD) patients exhibit alterations in the functional connectivity between spatial...

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