AIMC Topic: Aged

Clear Filters Showing 11081 to 11090 of 14227 articles

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

International journal of neural systems
Computer Aided Diagnosis (CAD) constitutes an important tool for the early diagnosis of Alzheimer's Disease (AD), which, in turn, allows the application of treatments that can be simpler and more likely to be effective. This paper explores the constr...

Evolving Spiking Neural Networks for Recognition of Aged Voices.

Journal of voice : official journal of the Voice Foundation
The aging of the voice, known as presbyphonia, is a natural process that can cause great change in vocal quality of the individual. This is a relevant problem to those people who use their voices professionally, and its early identification can help ...

Evaluation of an Assistive Telepresence Robot for Elderly Healthcare.

Journal of medical systems
In this paper we described the telepresence robot system designed to improve the well-being of elderly by supporting them to do daily activities independently, to facilitate social interaction in order to overcome a sense of social isolation and lone...

Optimal training dataset composition for SVM-based, age-independent, automated epileptic seizure detection.

Medical & biological engineering & computing
Automated seizure detection is a valuable asset to health professionals, which makes adequate treatment possible in order to minimize brain damage. Most research focuses on two separate aspects of automated seizure detection: EEG feature computation ...

Automated assessment of thigh composition using machine learning for Dixon magnetic resonance images.

Magma (New York, N.Y.)
OBJECTIVES: To develop and validate a machine learning based automated segmentation method that jointly analyzes the four contrasts provided by Dixon MRI technique for improved thigh composition segmentation accuracy.

Automatic Segmentation of MR Brain Images With a Convolutional Neural Network.

IEEE transactions on medical imaging
Automatic segmentation in MR brain images is important for quantitative analysis in large-scale studies with images acquired at all ages. This paper presents a method for the automatic segmentation of MR brain images into a number of tissue classes u...

Short- and mid-term outcomes of robotic-assisted total mesorectal excision for the treatment of rectal cancer. Our experience after 198 consecutive cases.

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology
BACKGROUND: Robot-assisted total mesorectal excision is a safe alternative for rectal cancer treatment. Nevertheless, substantial data is still missing. Our aim was to assess the perioperative and oncological outcomes of the routine use of the roboti...

Prediction and detection models for acute kidney injury in hospitalized older adults.

BMC medical informatics and decision making
BACKGROUND: Acute Kidney Injury (AKI) occurs in at least 5 % of hospitalized patients and can result in 40-70 % morbidity and mortality. Even following recovery, many subjects may experience progressive deterioration of renal function. The heterogene...

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

International psychogeriatrics
BACKGROUND: A variety of group activities is promoted for nursing home (NH) residents with dementia with the aim to reduce apathy and to increase engagement and social interaction. Investigating behaviors related to these outcomes could produce insig...

Bigdata Oriented Multimedia Mobile Health Applications.

Journal of medical systems
In this paper, two mHealth applications are introduced, which can be employed as the terminals of bigdata based health service to collect information for electronic medical records (EMRs). The first one is a hybrid system for improving the user exper...