Geriatrics

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

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Showing 3046-3066 of 7,288 articles
Predication of different stages of Alzheimer's disease using neighborhood component analysis and ensemble decision tree.

BACKGROUND: There is a spectrum of the progression from healthy control (HC) to mild cognitive impai...

Multiscale deep neural network based analysis of FDG-PET images for the early diagnosis of Alzheimer's disease.

Alzheimer's disease (AD) is one of the most common neurodegenerative diseases with a commonly seen p...

Deep Learning for Fall Detection: Three-Dimensional CNN Combined With LSTM on Video Kinematic Data.

Fall detection is an important public healthcare problem. Timely detection could enable instant deli...

Human arm joints reconstruction algorithm in rehabilitation therapies assisted by end-effector robotic devices.

BACKGROUND: End-effector robots are commonly used in robot-assisted neuro-rehabilitation therapies f...

On the Comparison of Wearable Sensor Data Fusion to a Single Sensor Machine Learning Technique in Fall Detection.

In the context of the ageing global population, researchers and scientists have tried to find soluti...

Scoping review on the use of socially assistive robot technology in elderly care.

OBJECTIVE: With an elderly population that is set to more than double by 2050 worldwide, there will ...

A New Remote Health-Care System Based on Moving Robot Intended for the Elderly at Home.

Nowadays, due to the growing need for remote care and the constantly increasing popularity of mobile...

A fuzzy logic control in adjustable autonomy of a multi-agent system for an automated elderly movement monitoring application.

Autonomous agents are being widely used in many systems, such as ambient assisted-living systems, to...

Ensemble support vector machine classification of dementia using structural MRI and mini-mental state examination.

BACKGROUND: The International Challenge for Automated Prediction of MCI from MRI data offered indepe...

Identifying neuropsychiatric disorders using unsupervised clustering methods: Data and code.

This article provides data for five different neuropsychiatric disorders-Attention Deficit Hyperacti...

Artificial intelligence on the identification of risk groups for osteoporosis, a general review.

INTRODUCTION: The goal of this paper is to present a critical review on the main systems that use ar...

Higher Serum Endocan Level Is Associated with Alzheimer Disease.

BACKGROUND: The novel molecule endocan, which is released by endothelium and is regulated by proangi...

Delirium Prediction using Machine Learning Models on Preoperative Electronic Health Records Data.

Electronic Health Records (EHR) are mainly designed to record relevant patient information during th...

Use of multimodality imaging and artificial intelligence for diagnosis and prognosis of early stages of Alzheimer's disease.

Alzheimer's disease (AD) is a major neurodegenerative disease and the most common cause of dementia....

Revealing Alzheimer's disease genes spectrum in the whole-genome by machine learning.

BACKGROUND: Alzheimer's disease (AD) is an important, progressive neurodegenerative disease, with a ...

A wrapped multi-label classifier for the automatic diagnosis and prognosis of Alzheimer's disease.

BACKGROUND: AD is the most frequent neurodegenerative disease, severely impacting our society. Early...

A general framework for sensor-based human activity recognition.

Today's wearable devices like smartphones, smartwatches and intelligent glasses collect a large amou...

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