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Neural-Based Compensation of Nonlinearities in an Airplane Longitudinal Model with Dynamic-Inversion Control.

Computational intelligence and neuroscience Dec 19, 2017
The inversion design approach is a very useful tool for the complex multiple-input-multiple-output nonlinear systems to implement the decoupling control goal, such as the airplane model and spacecraft model. In this work, the flight control law is pr...
Computer Simulation Feedback Aircraft Nonlinear Dynamics Humans Neural Networks, Computer
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Sparsifying machine learning models identify stable subsets of predictive features for behavioral detection of autism.

Molecular autism Dec 19, 2017
BACKGROUND: Autism spectrum disorder (ASD) diagnosis can be delayed due in part to the time required for administration of standard exams, such as the Autism Diagnostic Observation Schedule (ADOS). Shorter and potentially mobilized approaches would h...
Male Models, Psychological Algorithms ROC Curve Autism Spectrum Disorder Logistic Models Humans Female Supervised Machine Learning
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Aging and decreased glomerular filtration rate: An elderly population-based study.

PloS one Dec 19, 2017
BACKGROUND: Although a reduced glomerular filtration rate (GFR) in old people has been attributed to physiologic aging, it may be associated with kidney disease or superimposed comorbidities. This study aims to assess the prevalence of decreased GFR ...
(1)
Middle Aged Comorbidity Hypertension Glomerular Filtration Rate Aged Humans Diabetes Mellitus Metabolic Syndrome Female Aged, 80 and over Male Aging
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Classification of optic disc shape in glaucoma using machine learning based on quantified ocular parameters.

PloS one Dec 19, 2017
PURPOSE: This study aimed to develop a machine learning-based algorithm for objective classification of the optic disc in patients with open-angle glaucoma (OAG), using quantitative parameters obtained from ophthalmic examination instruments.
Female Humans Middle Aged Aged Glaucoma Optic Disk Adult Machine Learning Algorithms Male
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Random forest feature selection, fusion and ensemble strategy: Combining multiple morphological MRI measures to discriminate among healhy elderly, MCI, cMCI and alzheimer's disease patients: From the alzheimer's disease neuroimaging initiative (ADNI) database.

Journal of neuroscience methods Dec 18, 2017
BACKGROUND: In the era of computer-assisted diagnostic tools for various brain diseases, Alzheimer's disease (AD) covers a large percentage of neuroimaging research, with the main scope being its use in daily practice. However, there has been no stud...
Pattern Recognition, Automated Magnetic Resonance Imaging Decision Trees Alzheimer Disease Image Interpretation, Computer-Assisted Databases, Factual Male Brain Disease Progression Female Humans Cognitive Dysfunction Aged Machine Learning
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Artificial intelligence in fracture detection: transfer learning from deep convolutional neural networks.

Clinical radiology Dec 18, 2017
AIM: To identify the extent to which transfer learning from deep convolutional neural networks (CNNs), pre-trained on non-medical images, can be used for automated fracture detection on plain radiographs.
Machine Learning Sensitivity and Specificity Deep Learning Fractures, Bone Humans Neural Networks, Computer Artificial Intelligence Diagnosis, Differential Radiographic Image Interpretation, Computer-Assisted
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Automatic hemolysis identification on aligned dual-lighting images of cultured blood agar plates.

Computer methods and programs in biomedicine Dec 18, 2017
BACKGROUND AND OBJECTIVE: The recent introduction of Full Laboratory Automation systems in clinical microbiology opens to the availability of streams of high definition images representing bacteria culturing plates. This creates new opportunities to ...
Reproducibility of Results Humans Hemolysis Urinary Tract Infections Software Electronic Data Processing Bacteria Algorithms Lighting Agar Models, Statistical Signal Processing, Computer-Assisted Programming Languages
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Evaluation of a Urine-Based Rapid Molecular Diagnostic Test with Potential to Be Used at Point-of-Care for Pulmonary Tuberculosis: Cape Town Cohort.

The Journal of molecular diagnostics : JMD Dec 18, 2017
Tuberculosis (TB) diagnosis among sputum-scarce patients is time consuming. Thus, a nonsputum diagnostic alternative is urgently needed. The Mycobacterium tuberculosis-specific transrenal (Tr) DNA from urine is a potential target for TB diagnostics. ...
Diagnostic Tests, Routine Polymerase Chain Reaction Multivariate Analysis Microscopy Tuberculosis, Pulmonary Mycobacterium tuberculosis Humans Biomarkers Female Risk Factors Aged Aged, 80 and over HIV Infections Cohort Studies Molecular Diagnostic Techniques DNA, Bacterial Logistic Models Universities Sputum South Africa Young Adult Cross-Sectional Studies Adult Male Sensitivity and Specificity Point-of-Care Systems Middle Aged
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Comparison Between Manual Auditing and a Natural Language Process With Machine Learning Algorithm to Evaluate Faculty Use of Standardized Reports in Radiology.

Journal of the American College of Radiology : JACR Dec 18, 2017
PURPOSE: When implementing or monitoring department-sanctioned standardized radiology reports, feedback about individual faculty performance has been shown to be a useful driver of faculty compliance. Most commonly, these data are derived from manual...
Machine Learning Software Natural Language Processing Documentation Radiology Information Systems Faculty, Medical Medical Audit Humans
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Distribution, variability, and predictors of urinary bisphenol A levels in 50 North Carolina adults over a six-week monitoring period.

Environment international Dec 18, 2017
Bisphenol A (BPA) is commonly manufactured to make polycarbonate plastics and epoxy resins for use in consumer products and packaged goods. BPA has been found in several different types of environmental media (e.g., food, dust, and air). Many cross-s...
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Biomarkers Environmental Monitoring Phenols Benzhydryl Compounds Humans North Carolina
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