Geriatrics

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

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Showing 1933-1953 of 7,246 articles
Automated detection of mild cognitive impairment and dementia from voice recordings: A natural language processing approach.

INTRODUCTION: Automated computational assessment of neuropsychological tests would enable widespread...

Smart Cognitive IoT Devices Using Multi-Layer Perception Neural Network on Limited Microcontroller.

The Internet of Things (IoT) era is mainly dependent on the word "Smart", such as smart cities, smar...

Classifying the lifestyle status for Alzheimer's disease from clinical notes using deep learning with weak supervision.

BACKGROUND: Since no effective therapies exist for Alzheimer's disease (AD), prevention has become m...

Sequence Learning in a Single Trial: A Spiking Neurons Model Based on Hippocampal Circuitry.

In contrast with our everyday experience using brain circuits, it can take a prohibitively long time...

Photoplethysmogram based vascular aging assessment using the deep convolutional neural network.

Arterial stiffness due to vascular aging is a major indicator during the assessment of cardiovascula...

Design of Drug Sales Forecasting Model Using Particle Swarm Optimization Neural Networks Model.

The establishment of enterprise target inventory is directly related to the forecast of drug sales v...

An End-to-End Deep Learning Approach for State Recognition of Multifunction Radars.

With the widespread use of multifunction radars (MFRs), it is hard for the traditional radar signal ...

Frailty Identification Using Heart Rate Dynamics: A Deep Learning Approach.

Previous research showed that frailty can influence autonomic nervous system and consequently heart ...

XGBoost Regression of the Most Significant Photoplethysmogram Features for Assessing Vascular Aging.

The purpose of this study was to confirm the potential of XGBoost as a vascular aging assessment mod...

[The use of robotic and technical systems for early mobilization of intensive care patients: A scoping review].

The use of robotic and technical systems for early mobilization of intensive care patients: A scopin...

Pathological-Gait Recognition Using Spatiotemporal Graph Convolutional Networks and Attention Model.

Walking is an exercise that uses muscles and joints of the human body and is essential for understan...

Application of Artificial Intelligence Methodologies to Chronic Wound Care and Management: A Scoping Review.

As the number of hard-to-heal wound cases rises with the aging of the population and the spread of ...

Multimodal deep learning for Alzheimer's disease dementia assessment.

Worldwide, there are nearly 10 million new cases of dementia annually, of which Alzheimer's disease ...

Leakage Current Sensor and Neural Network for  MOA Monitoring.

Metal-oxide arrester (MOA) has been widely used in electric power systems. The leakage current monit...

Using Deep Neural Networks for Human Fall Detection Based on Pose Estimation.

Requests for caring for and monitoring the health and safety of older adults are increasing nowadays...

Selfee, self-supervised features extraction of animal behaviors.

Fast and accurately characterizing animal behaviors is crucial for neuroscience research. Deep learn...

Machine learning for comprehensive prediction of high risk for Alzheimer's disease based on chromatic pupilloperimetry.

Currently there are no reliable biomarkers for early detection of Alzheimer's disease (AD) at the pr...

Deep convolutional neural networks for automated scoring of pentagon copying test results.

This study aims to investigate the accuracy of a fine-tuned deep convolutional neural network (CNN) ...

Deep learning for Alzheimer's disease diagnosis: A survey.

Alzheimer's Disease (AD) is an irreversible neurodegenerative disease that results in a progressive ...

Implementation of Aging Mechanism Analysis and Prediction for XILINX 7-Series FPGAs with a 28-nm Process.

Commercial off-the-shelf (COTS) field-programmable gate arrays (FPGAs) with a 28-nm process have bec...

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