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Development and Validation of a Deep Learning System for Staging Liver Fibrosis by Using Contrast Agent-enhanced CT Images in the Liver.

Radiology Sep 4, 2018
Purpose To develop and validate a deep learning system (DLS) for staging liver fibrosis by using CT images in the liver. Materials and Methods DLS for CT-based staging of liver fibrosis was created by using a development data set that included portal...
Humans Tomography, X-Ray Computed Liver Cirrhosis Contrast Media Liver Radiographic Image Enhancement Female Male Reproducibility of Results Adult Middle Aged Severity of Illness Index Deep Learning
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A comparative study of logistic regression based machine learning techniques for prediction of early virological suppression in antiretroviral initiating HIV patients.

BMC medical informatics and decision making Sep 4, 2018
BACKGROUND: Treatment with effective antiretroviral therapy (ART) lowers morbidity and mortality among HIV positive individuals. Effective highly active antiretroviral therapy (HAART) should lead to undetectable viral load within 6 months of initiati...
HIV Infections Viral Load Anti-HIV Agents Cohort Studies Female Adult Male CD4 Lymphocyte Count Antiretroviral Therapy, Highly Active Logistic Models Treatment Outcome Predictive Value of Tests Humans Machine Learning
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EEG-Based Automatic Sleep Staging Using Ontology and Weighting Feature Analysis.

Computational and mathematical methods in medicine Sep 4, 2018
Sleep staging is considered as an effective indicator for auxiliary diagnosis of sleep diseases and related psychiatric diseases, so it attracts a lot of attention from sleep researchers. Nevertheless, sleep staging based on visual inspection of trad...
Automation Male Biological Ontologies Humans Electroencephalography Data Analysis Sleep Stages Sleep Female Artifacts
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The impact of robotic intervention on joint attention in children with autism spectrum disorders.

Molecular autism Sep 4, 2018
BACKGROUND: A growing body of anecdotal evidence indicates that the use of robots may provide unique opportunities for assisting children with autism spectrum disorders (ASD). However, previous studies investigating the effects of interventions using...
Attention Social Behavior Humans Child Behavior Autism Spectrum Disorder Child, Preschool Female Child Male Robotics
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Evaluation of automatic video captioning using direct assessment.

PloS one Sep 4, 2018
We present Direct Assessment, a method for manually assessing the quality of automatically-generated captions for video. Evaluating the accuracy of video captions is particularly difficult because for any given video clip there is no definitive groun...
Humans Image Processing, Computer-Assisted Natural Language Processing Software Semantics Reproducibility of Results Correlation of Data Deep Learning
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Utilizing Deep Learning and Genome Wide Association Studies for Epistatic-Driven Preterm Birth Classification in African-American Women.

IEEE/ACM transactions on computational biology and bioinformatics Sep 3, 2018
Genome-Wide Association Studies (GWAS) are used to identify statistically significant genetic variants in case-control studies. The main objective is to find single nucleotide polymorphisms (SNPs) that influence a particular phenotype (i.e., disease ...
Black or African American Epistasis, Genetic Pregnancy Female Humans Deep Learning Infant, Newborn Algorithms Premature Birth Genome-Wide Association Study Polymorphism, Single Nucleotide Computational Biology
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Representation Learning by Rotating Your Faces.

IEEE transactions on pattern analysis and machine intelligence Sep 3, 2018
The large pose discrepancy between two face images is one of the fundamental challenges in automatic face recognition. Conventional approaches to pose-invariant face recognition either perform face frontalization on, or learn a pose-invariant represe...
Image Processing, Computer-Assisted Rotation Face Pattern Recognition, Automated Biometric Identification Machine Learning Algorithms Female Male Humans
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Multiview Multitask Gaze Estimation With Deep Convolutional Neural Networks.

IEEE transactions on neural networks and learning systems Sep 3, 2018
Gaze estimation, which aims to predict gaze points with given eye images, is an important task in computer vision because of its applications in human visual attention understanding. Many existing methods are based on a single camera, and most of the...
Humans Fixation, Ocular Multitasking Behavior Neural Networks, Computer Attention Photic Stimulation
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Parkinson's Disease Diagnosis via Joint Learning From Multiple Modalities and Relations.

IEEE journal of biomedical and health informatics Sep 3, 2018
Parkinson's disease (PD) is a neurodegenerative progressive disease that mainly affects the motor systems of patients. To slow this disease deterioration, early and accurate diagnosis of PD is an effective way, which alleviates mental and physical su...
Middle Aged ROC Curve Parkinson Disease Brain Female Aged Multimodal Imaging Humans Male Image Interpretation, Computer-Assisted Machine Learning Diffusion Tensor Imaging Algorithms
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Multiparametric ultrasomics of significant liver fibrosis: A machine learning-based analysis.

European radiology Sep 3, 2018
OBJECTIVE: To assess significant liver fibrosis by multiparametric ultrasomics data using machine learning.
Female Adult Male Middle Aged Algorithms Decision Support Techniques Prospective Studies Humans Support Vector Machine Neural Networks, Computer Decision Trees Machine Learning Area Under Curve Hepatitis B, Chronic Ultrasonography ROC Curve Logistic Models Liver Cirrhosis
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