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Showing 67591 to 67600 of 95995 articles
Classifier Personalization for Activity Recognition Using Wrist Accelerometers.
IEEE journal of biomedical and health informatics
Sep 12, 2018
Intersubject variability in accelerometer-based activity recognition may significantly affect classification accuracy, limiting a reliable extension of methods to new users. In this paper, we propose an approach for personalizing classification rules...
Joint Classification and Regression via Deep Multi-Task Multi-Channel Learning for Alzheimer's Disease Diagnosis.
IEEE transactions on bio-medical engineering
Sep 12, 2018
In the field of computer-aided Alzheimer's disease (AD) diagnosis, jointly identifying brain diseases and predicting clinical scores using magnetic resonance imaging (MRI) have attracted increasing attention since these two tasks are highly correlate...
Iterative PET Image Reconstruction Using Convolutional Neural Network Representation.
IEEE transactions on medical imaging
Sep 12, 2018
PET image reconstruction is challenging due to the ill-poseness of the inverse problem and limited number of detected photons. Recently, the deep neural networks have been widely and successfully used in computer vision tasks and attracted growing in...
Triglycerides and glucose index as an insulin resistance marker in a sample of healthy adults.
Diabetes & metabolic syndrome
Sep 12, 2018
AIM: To assess the association between elevated triglycerides/glucose index (TGI) and insulin resistance (IR) or hyperinsulinemia after oral glucose tolerance test (OGTT) in a sample of healthy adults.
Critical features for face recognition.
Cognition
Sep 12, 2018
Face recognition is a computationally challenging task that humans perform effortlessly. Nonetheless, this remarkable ability is better for familiar faces than unfamiliar faces. To account for humans' superior ability to recognize familiar faces, cur...
Robotic technology provides objective and quantifiable metrics of neurocognitive functioning in survivors of critical illness:A feasibility study.
Journal of critical care
Sep 12, 2018
PURPOSE: To assess the feasibility of using an integrated multimodal data collection strategy to characterize the post-intensive care syndrome (PICS).
A dynamic model for predicting graft function in kidney recipients' upcoming follow up visits: A clinical application of artificial neural network.
International journal of medical informatics
Sep 12, 2018
BACKGROUND: Predicting the function of transplanted kidneys would help clinicians in individualized medical interventions. We aimed to develop and validate a predictive tool for a future value of estimated glomerular filtration rate (eGFR) at upcomin...
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A comparison of word embeddings for the biomedical natural language processing.
Journal of biomedical informatics
Sep 12, 2018
BACKGROUND: Word embeddings have been prevalently used in biomedical Natural Language Processing (NLP) applications due to the ability of the vector representations being able to capture useful semantic properties and linguistic relationships between...
Humans
Machine Learning
Electronic Health Records
Female
Middle Aged
Adolescent
Models, Statistical
Natural Language Processing
Aged
Young Adult
Adult
Male
Semantics
Family Health
Minnesota
Unified Medical Language System
Linguistics
PubMed
Probability
Information Storage and Retrieval
Medical Informatics
Feature Selection and Parameters Optimization of Support Vector Machines Based on Hybrid Glowworm Swarm Optimization for Classification of Diabetic Retinopathy.
Journal of medical systems
Sep 12, 2018
Diabetic Retinopathy (DR) has been a leading cause of blindness in case of human beings falling between the ages of 20 and 74 years. This will have a major influence on both the patient and the society as it can normally influence the humans in their...
"You can tell by the way I use my walk." Predicting the presence of cognitive load with gait measurements.
Biomedical engineering online
Sep 12, 2018
BACKGROUND: There is considerable evidence that a person's gait is affected by cognitive load. Research in this field has implications for understanding the relationship between motor control and neurological conditions in aging and clinical populati...
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