Geriatrics

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

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Subcategories: Alzheimer's Disease Medicare
Showing 3235-3255 of 7,296 articles
Temporally Constrained Group Sparse Learning for Longitudinal Data Analysis in Alzheimer's Disease.

Sparse learning has been widely investigated for analysis of brain images to assist the diagnosis of...

Monitoring of total positive end-expiratory pressure during mechanical ventilation by artificial neural networks.

Ventilation treatment of acute lung injury (ALI) requires the application of positive airway pressur...

An EEG-Based Fuzzy Probability Model for Early Diagnosis of Alzheimer's Disease.

Alzheimer's disease is a degenerative brain disease that results in cardinal memory deterioration an...

Ecological systems as computer networks: Long distance sea dispersal as a communication medium between island plant populations.

Ecological systems are known to exchange genetic material through animal species migration and seed ...

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 ...

Evolving Spiking Neural Networks for Recognition of Aged Voices.

The aging of the voice, known as presbyphonia, is a natural process that can cause great change in v...

Evaluation of an Assistive Telepresence Robot for Elderly Healthcare.

In this paper we described the telepresence robot system designed to improve the well-being of elder...

Engineering neural systems for high-level problem solving.

There is a long-standing, sometimes contentious debate in AI concerning the relative merits of a sym...

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 ...

Lateral specialization in unilateral spatial neglect: a cognitive robotics model.

In this paper, we present the experimental results of an embodied cognitive robotic approach for mod...

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...

A Human Activity Recognition System Using Skeleton Data from RGBD Sensors.

The aim of Active and Assisted Living is to develop tools to promote the ageing in place of elderly ...

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

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

Sequential detection of learning in cognitive diagnosis.

In order to look more closely at the many particular skills examinees utilize to answer items, cogni...

A Novel Brain Network Construction Method for Exploring Age-Related Functional Reorganization.

The human brain undergoes complex reorganization and changes during aging. Using graph theory, scien...

Accelerated Brain Aging in Schizophrenia: A Longitudinal Pattern Recognition Study.

OBJECTIVE: Despite the multitude of longitudinal neuroimaging studies that have been published, a ba...

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...

Robot-Assisted End-Effector-Based Stair Climbing for Cardiopulmonary Exercise Testing: Feasibility, Reliability, and Repeatability.

BACKGROUND: Neurological impairments can limit the implementation of conventional cardiopulmonary ex...

Design and Evaluation of a Soft and Wearable Robotic Glove for Hand Rehabilitation.

In the modern world, due to an increased aging population, hand disability is becoming increasingly ...

Age-Related Changes in Dynamic Postural Control and Attentional Demands are Minimally Affected by Local Muscle Fatigue.

Normal aging results in alterations in the visual, vestibular and somtaosensory systems, which in tu...

Improved prediction of drug-target interactions using regularized least squares integrating with kernel fusion technique.

Identification of drug-target interactions (DTI) is a central task in drug discovery processes. In t...

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