AIMC Topic: Humans

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Validation of a Deep Learning Model to Screen for Glaucoma Using Images from Different Fundus Cameras and Data Augmentation.

Ophthalmology. Glaucoma Apr 1, 2019
PURPOSE: To validate a deep residual learning algorithm to diagnose glaucoma from fundus photography using different fundus cameras at different institutes.
Humans Glaucoma Algorithms Female ROC Curve Fundus Oculi Optic Disk Fluorescein Angiography Aged Cross-Sectional Studies Male Deep Learning
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Concurrent, Performance-Based Methodology for Increasing the Accuracy and Certainty of Short-Term Neural Prediction Systems.

Computational intelligence and neuroscience Apr 1, 2019
Accurate prediction of the short time series with highly irregular behavior is a challenging task found in many areas of modern science. Such data fluctuations are not systematic and hardly predictable. In recent years, artificial neural networks hav...
Humans Nonlinear Dynamics Uncertainty Neural Networks, Computer Algorithms Forecasting Data Accuracy
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Spatial Concept Learning: A Spiking Neural Network Implementation in Virtual and Physical Robots.

Computational intelligence and neuroscience Apr 1, 2019
This paper proposes an artificial spiking neural network (SNN) sustaining the cognitive abstract process of spatial concept learning, embedded in virtual and real robots. Based on an operant conditioning procedure, the robots learn the relationship o...
Models, Neurological Neurons Concept Formation Humans Artificial Intelligence Neural Networks, Computer Algorithms Learning Neuronal Plasticity
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A Novel Hardware Systolic Architecture of a Self-Organizing Map Neural Network.

Computational intelligence and neuroscience Apr 1, 2019
In this article, we propose to design a new modular architecture for a self-organizing map (SOM) neural network. The proposed approach, called systolic-SOM (SSOM), is based on the use of a generic model inspired by a systolic movement. This model is ...
Neural Networks, Computer Artificial Intelligence Algorithms Computers Image Processing, Computer-Assisted Neurons Humans
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Modulation Classification of Underwater Communication with Deep Learning Network.

Computational intelligence and neuroscience Apr 1, 2019
Automatic modulation recognition has successfully used various machine learning methods and achieved certain results. As a subarea of machine learning, deep learning has made great progress in recent years and has made remarkable progress in the fiel...
Humans Neural Networks, Computer Machine Learning Acoustics Communication Social Networking Deep Learning Image Processing, Computer-Assisted
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Deep learning for identifying environmental risk factors of acute respiratory diseases in Beijing, China: implications for population with different age and gender.

International journal of environmental health research Mar 31, 2019
This study focuses on identifying environmental health risk factors related to acute respiratory diseases using deep learning method. Based on respiratory disease data, air pollution data and meteorological environmental data, cross-domain risk facto...
Deep Learning China Adolescent Incidence Adult Male Middle Aged Infant Air Pollutants Particulate Matter Environmental Exposure Weather Child, Preschool Child Age Factors Acute Disease Humans Female Infant, Newborn Risk Factors Aged Aged, 80 and over Young Adult Sex Factors Beijing Respiratory Tract Diseases
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Simple Linear Support Vector Machine Classifier Can Distinguish Impaired Glucose Tolerance Versus Type 2 Diabetes Using a Reduced Set of CGM-Based Glycemic Variability Indices.

Journal of diabetes science and technology Mar 31, 2019
BACKGROUND: Many glycemic variability (GV) indices exist in the literature. In previous works, we demonstrated that a set of GV indices, extracted from continuous glucose monitoring (CGM) data, can distinguish between stages of diabetes progression. ...
Health Status Indicators Female Blood Glucose Self-Monitoring Reproducibility of Results Datasets as Topic Aged Glucose Intolerance Adult Male Humans Glycemic Control Support Vector Machine Middle Aged Diagnosis, Differential Algorithms Blood Glucose Predictive Value of Tests Diabetes Mellitus, Type 2 Data Interpretation, Statistical
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Enhanced early prediction of clinically relevant neonatal hyperbilirubinemia with machine learning.

Pediatric research Mar 31, 2019
BACKGROUND: Machine learning models may enhance the early detection of clinically relevant hyperbilirubinemia based on patient information available in every hospital.
Bilirubin Infant, Premature Gestational Age Hyperbilirubinemia, Neonatal Sensitivity and Specificity Male ROC Curve Longitudinal Studies Regression Analysis Area Under Curve Internet Phototherapy Machine Learning Retrospective Studies Female Humans Infant, Newborn
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Booster immunity - diagnosis of chronic hepatitis B viral infection.

Journal of infection in developing countries Mar 31, 2019
INTRODUCTION: Diagnosis of chronic hepatitis B virus (HBV) infection particularly its occult form requires monitoring and repeat serological and molecular studies. The aim of the study was to investigate the possible relation between the case of a fa...
Hepatitis B, Chronic Hepatitis B Vaccines Hepatitis B Antibodies Family Health Hepatitis A Hepatitis B Antigens Middle Aged Humans Disease Outbreaks Female Hepatitis B virus Adult DNA, Viral Male
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In vitro anti-Trichomonas vaginalis activity of Haplophyllum myrtifolium.

Journal of infection in developing countries Mar 31, 2019
INTRODUCTION: In the classic treatment of Trichomonas vaginalis infection, although metronidazole has been used since the 1960s, there has been an increase in MTZ-resistant T. vaginalis strains and failure in the treatment of trichomoniasis causes se...
Humans Plant Extracts Parasitic Sensitivity Tests Female Rutaceae Trichomonas vaginalis Turkey Antiprotozoal Agents Trophozoites
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