Geriatrics

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

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Showing 2962-2982 of 7,277 articles
Sense classification of shallow discourse relations with focused RNNs.

Understanding the sense of discourse relations between segments of text is essential to truly compre...

Care Personnel's Attitudes and Fears Toward Care Robots in Elderly Care: A Comparison of Data from the Care Personnel in Finland and Japan.

PURPOSE: The aim of the study was to analyze and compare elderly care personnel attitudes toward car...

Deep neural network improves fracture detection by clinicians.

Suspected fractures are among the most common reasons for patients to visit emergency departments (E...

High-Fidelity Monocular Face Reconstruction Based on an Unsupervised Model-Based Face Autoencoder.

In this work, we propose a novel model-based deep convolutional autoencoder that addresses the highl...

Vitamin D status in relation to age, bone mineral density of the spine and femur in obese Saudi females - A hospital-based study.

The aim of the present study was to evaluate the association between Bone mineral density in lumber ...

End-to-End syndrome differentiation of Yin deficiency and Yang deficiency in traditional Chinese medicine.

BACKGROUND AND OBJECTIVE: Yin and Yang, two concepts adapted from classical Chinese philosophy, play...

Satisfaction and Technology Evaluation of a Telehealth Robotic Program to Optimize Healthy Independent Living for Older Adults.

BACKGROUND AND PURPOSE: With the growth in the aging population, and shortage of primary care provid...

Enlarged perivascular spaces in brain MRI: Automated quantification in four regions.

Enlarged perivascular spaces (PVS) are structural brain changes visible in MRI, are common in aging,...

Infant Brain Development Prediction With Latent Partial Multi-View Representation Learning.

The early postnatal period witnesses rapid and dynamic brain development. However, the relationship ...

Predicting hospital associated disability from imbalanced data using supervised learning.

Hospitalization of elderly patients can lead to serious adverse effects on their functional capabili...

Deep learning based low-cost high-accuracy diagnostic framework for dementia using comprehensive neuropsychological assessment profiles.

BACKGROUND: The conventional scores of the neuropsychological batteries are not fully optimized for ...

3D Deep Learning from CT Scans Predicts Tumor Invasiveness of Subcentimeter Pulmonary Adenocarcinomas.

: Identification of early-stage pulmonary adenocarcinomas before surgery, especially in cases of sub...

Alzheimer's disease diagnosis based on multiple cluster dense convolutional networks.

Alzheimer's disease (AD) is an irreversible neurodegenerative disorder with progressive impairment o...

Robotics in Nursing: A Scoping Review.

PURPOSE: Driven by the shortage in qualified nurses and the high percentage of aging populations, th...

Learning to Detect Cognitive Impairment through Digital Games and Machine Learning Techniques.

OBJECTIVE: Alzheimer's disease (AD) is one of the most prevalent diseases among the adult population...

Towards End-to-End ECG Classification With Raw Signal Extraction and Deep Neural Networks.

This paper proposes deep learning methods with signal alignment that facilitate the end-to-end class...

Dialogue Systems and Conversational Agents for Patients with Dementia: The Human-Robot Interaction.

This study aimed to identify and describe the fundamental characteristics of spoken dialogue systems...

Instance-Based Representation Using Multiple Kernel Learning for Predicting Conversion to Alzheimer Disease.

The early detection of Alzheimer's disease and quantification of its progression poses multiple diff...

Temporal Correlation Structure Learning for MCI Conversion Prediction.

In Alzheimer's research, Mild Cognitive Impairment (MCI) is an important intermediate stage between ...

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