Humans

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Scan-specific robust artificial-neural-networks for k-space interpolation (RAKI) reconstruction: Database-free deep learning for fast imaging.

Magnetic resonance in medicine Sep 18, 2018
PURPOSE: To develop an improved k-space reconstruction method using scan-specific deep learning that is trained on autocalibration signal (ACS) data.
Image Enhancement Radionuclide Imaging Phantoms, Imaging Middle Aged Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans Brain Mapping Heart Image Interpretation, Computer-Assisted Neural Networks, Computer Female Algorithms Young Adult Databases, Factual Adult Brain Male
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A little labeling goes a long way: Semi-supervised learning in infancy.

Developmental science Sep 18, 2018
There is considerable evidence that labeling supports infants' object categorization. Yet in daily life, most of the category exemplars that infants encounter will remain unlabeled. Inspired by recent evidence from machine learning, we propose that i...
Infant Child, Preschool Supervised Machine Learning Humans Language Development Learning
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Factorization machines and deep views-based co-training for improving answer quality prediction in online health expert question-answering services.

Journal of biomedical informatics Sep 18, 2018
In online health expert question-answering (HQA) services, it is significant to automatically determine the quality of the answers. There are two prominent challenges in this task. First, the answers are usually written in short text, which makes it ...
Humans Neural Networks, Computer Machine Learning Software Algorithms Communication Semantics Predictive Value of Tests Internet Telemedicine
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Predicting the risk of acute care readmissions among rehabilitation inpatients: A machine learning approach.

Journal of biomedical informatics Sep 18, 2018
INTRODUCTION: Readmission from inpatient rehabilitation facilities to acute care hospitals is a serious problem. This study aims to develop a predictive model based on machine learning algorithms to identify patients at high risk of readmission.
North Carolina Outpatients Rehabilitation Preventive Medicine Regression Analysis Inpatients Patient Readmission Risk Logistic Models Support Vector Machine Longitudinal Studies Retrospective Studies Humans Female Machine Learning Hospitalization Algorithms Sensitivity and Specificity Aged Male Middle Aged ROC Curve
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A Hybrid Deep Learning Model for Predicting Protein Hydroxylation Sites.

International journal of molecular sciences Sep 18, 2018
Protein hydroxylation is one type of post-translational modifications (PTMs) playing critical roles in human diseases. It is known that protein sequence contains many uncharacterized residues of proline and lysine. The question that needs to be answe...
Hydroxylysine Proteins Models, Biological Hydroxyproline Hydroxylation Humans Neural Networks, Computer Deep Learning Protein Processing, Post-Translational
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Comparative analysis of predictive methods for early assessment of compliance with continuous positive airway pressure therapy.

BMC medical informatics and decision making Sep 18, 2018
BACKGROUND: Patients suffering obstructive sleep apnea are mainly treated with continuous positive airway pressure (CPAP). Although it is a highly effective treatment, compliance with this therapy is problematic to achieve with serious consequences f...
Humans Machine Learning Retrospective Studies Middle Aged Time Factors Treatment Outcome Predictive Value of Tests Female Aged Adult Male Sleep Apnea, Obstructive Patient Compliance Continuous Positive Airway Pressure
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Detecting gene-gene interactions for complex quantitative traits using generalized fuzzy classification.

BMC bioinformatics Sep 18, 2018
BACKGROUND: Quantitative traits or continuous outcomes related to complex diseases can provide more information and therefore more accurate analysis for identifying gene-gene and gene- environment interactions associated with complex diseases. Multif...
Mice Polymorphism, Single Nucleotide Computational Biology Models, Genetic Fuzzy Logic Genetic Markers Humans Epistasis, Genetic Phenotype Female Animals
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Detection of masses in mammograms using a one-stage object detector based on a deep convolutional neural network.

PloS one Sep 18, 2018
Several computer aided diagnosis (CAD) systems have been developed for mammography. They are widely used in certain countries such as the U.S. where mammography studies are conducted more frequently; however, they are not yet globally employed for cl...
Deep Learning Humans Mammography Female Radiographic Image Interpretation, Computer-Assisted Neural Networks, Computer Breast Neoplasms Diagnosis, Computer-Assisted Decision Support Techniques Databases, Factual
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Analytical Concordance of Diverse Point-of-Care and Central Laboratory Troponin I Assays.

The journal of applied laboratory medicine Sep 17, 2018
BACKGROUND: Cardiac troponin I (cTnI) 99th percentile cutoffs, used in the diagnosis of acute myocardial infarction, are not standardized across cTnI assays. We compared 3 point-of-care (POC) and 1 central laboratory contemporary cTnI assays against ...
Troponin T Male Biological Assay Humans Laboratories Point-of-Care Systems Troponin I Biomarkers Triage Female Myocardial Infarction
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A novel system of SSVEP-based human-robot coordination.

Journal of neural engineering Sep 17, 2018
OBJECTIVE: Human-robot coordination (HRC) aims to enable human and robot to form a tightly coupled system to accomplish a task. One of its important application prospects is to improve the physical function of the disabled. However, the low level of ...
Male Robotics Electroencephalography Brain-Computer Interfaces Brain Female Young Adult Adult Evoked Potentials, Visual Photic Stimulation Humans
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