Neurology

Dementia

Latest AI and machine learning research in dementia for healthcare professionals.

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Ensembles of Deep Learning Architectures for the Early Diagnosis of the Alzheimer's Disease.

Computer Aided Diagnosis (CAD) constitutes an important tool for the early diagnosis of Alzheimer's ...

Group activity with Paro in nursing homes: systematic investigation of behaviors in participants.

BACKGROUND: A variety of group activities is promoted for nursing home (NH) residents with dementia ...

Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls.

Neuroimaging-based single subject prediction of brain disorders has gained increasing attention in r...

Voxel-Based Diagnosis of Alzheimer's Disease Using Classifier Ensembles.

Functional magnetic resonance imaging (fMRI) is one of the most promising noninvasive techniques for...

Modeling Disease Progression via Multisource Multitask Learners: A Case Study With Alzheimer's Disease.

Understanding the progression of chronic diseases can empower the sufferers in taking proactive care...

Use of machine learning for behavioral distinction of autism and ADHD.

Although autism spectrum disorder (ASD) and attention deficit hyperactivity disorder (ADHD) continue...

Vision-Based Pose Estimation for Robot-Mediated Hand Telerehabilitation.

Vision-based Pose Estimation (VPE) represents a non-invasive solution to allow a smooth and natural ...

The GAAIN Entity Mapper: An Active-Learning System for Medical Data Mapping.

This work is focused on mapping biomedical datasets to a common representation, as an integral part ...

Relationship Induced Multi-Template Learning for Diagnosis of Alzheimer's Disease and Mild Cognitive Impairment.

As shown in the literature, methods based on multiple templates usually achieve better performance, ...

Cognitively impaired elderly exhibit insulin resistance and no memory improvement with infused insulin.

Insulin resistance is a risk factor for Alzheimer's disease (AD), although its role in AD etiology i...

A hybrid manifold learning algorithm for the diagnosis and prognostication of Alzheimer's disease.

The diagnosis of Alzheimer's disease (AD) requires a variety of medical tests, which leads to huge a...

CSF YKL-40 and pTau181 are related to different cerebral morphometric patterns in early AD.

Cerebrospinal fluid (CSF) concentrations of YKL-40 that serve as biomarker of neuroinflammation are ...

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...

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. ...

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