AIMC Topic: Aged, 80 and over
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Could Robots Help Older People with Age-Related Nutritional Problems? Opinions of Potential Users.
International journal of environmental research and public health
Nov 12, 2018
The rapid development of new technologies has recently raised interest in the use of assistive robots in the care of older people. The success or failure of robots' implementation is mediated by their acceptance by users. The aim of the study was to...
[Interest of robotic stereotactic radiosurgery in the management of brain metastases: Results of a retrospective, single center analysis].
Neuro-Chirurgie
Nov 10, 2018
PURPOSE: The management of malignant brain metastases becomes a main issue for the treatment of patients, because of the survival extension related to the improvement in systemic treatments. Robotic stereotactic radiosurgery (RSR) is a new approach i...
Multiple Human-Behaviour Indicators for Predicting Lung Cancer Mortality with Support Vector Machine.
Scientific reports
Nov 9, 2018
Lung cancer is still one of the most common causes of death around the world, while there is overwhelming evidence that the environment and lifestyle factors are predominant causes of most sporadic cancers. However, when applying human-behaviour indi...
Mortality prediction in patients with isolated moderate and severe traumatic brain injury using machine learning models.
PloS one
Nov 9, 2018
BACKGROUND: The purpose of this study was to build a model of machine learning (ML) for the prediction of mortality in patients with isolated moderate and severe traumatic brain injury (TBI).
Combined Low Dose Rate Brachytherapy and External Beam Radiation Therapy for Intermediate-Risk Prostate Cancer.
Journal of medical imaging and radiation sciences
Nov 8, 2018
INTRODUCTION: This is a retrospective study conducted to report the tumor control and late toxicity outcomes of patients with intermediate-risk prostate cancer undergoing combination external beam radiation therapy and low dose rate brachytherapy (LD...
Multiregion segmentation of bladder cancer structures in MRI with progressive dilated convolutional networks.
Medical physics
Nov 8, 2018
PURPOSE: Precise segmentation of bladder walls and tumor regions is an essential step toward noninvasive identification of tumor stage and grade, which is critical for treatment decision and prognosis of patients with bladder cancer (BC). However, th...
A machine learning texture model for classifying lung cancer subtypes using preliminary bronchoscopic findings.
Medical physics
Nov 8, 2018
PURPOSE: Bronchoscopy is useful in lung cancer detection, but cannot be used to differentiate cancer types. A computer-aided diagnosis (CAD) system was proposed to distinguish malignant cancer types to achieve objective diagnoses.
Chest Radiographs in Congestive Heart Failure: Visualizing Neural Network Learning.
Radiology
Nov 6, 2018
Purpose To examine Generative Visual Rationales (GVRs) as a tool for visualizing neural network learning of chest radiograph features in congestive heart failure (CHF). Materials and Methods A total of 103 489 frontal chest radiographs in 46 712 pati...
Thorax
Radiographic Image Interpretation, Computer-Assisted
Heart Failure
Natriuretic Peptide, Brain
Radiography, Thoracic
Young Adult
Adult
Male
Middle Aged
Infant
Adolescent
Child, Preschool
Child
ROC Curve
Databases, Factual
Female
Infant, Newborn
Aged
Aged, 80 and over
Humans
Neural Networks, Computer
A Deep Learning Model to Predict a Diagnosis of Alzheimer Disease by Using F-FDG PET of the Brain.
Radiology
Nov 6, 2018
Purpose To develop and validate a deep learning algorithm that predicts the final diagnosis of Alzheimer disease (AD), mild cognitive impairment, or neither at fluorine 18 (F) fluorodeoxyglucose (FDG) PET of the brain and compare its performance to t...
A unified non-linear approach based on recurrence quantification analysis and approximate entropy: application to the classification of heart rate variability of age-stratified subjects.
Medical & biological engineering & computing
Nov 3, 2018
This paper presents a unified approach based on the recurrence quantification analysis (RQA) and approximate entropy (ApEn) for the classification of heart rate variability (HRV). In this paper, the optimum tolerance threshold (r) corresponding to Ap...
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