AIMC Topic: Female

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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 Deep Learning ROC Curve Fundus Oculi Optic Disk Fluorescein Angiography Algorithms Female Aged Cross-Sectional Studies Male
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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...
Incidence Child, Preschool Child Age Factors Acute Disease Middle Aged Infant Deep Learning China Adolescent Beijing Respiratory Tract Diseases Air Pollutants Particulate Matter Environmental Exposure Weather Sex Factors Humans Female Infant, Newborn Risk Factors Aged Aged, 80 and over Young Adult Adult Male
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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 Data Interpretation, Statistical Blood Glucose Self-Monitoring Datasets as Topic Glucose Intolerance Glycemic Control Diabetes Mellitus, Type 2 Support Vector Machine Diagnosis, Differential Predictive Value of Tests Humans Algorithms Female Aged Reproducibility of Results Adult Male Middle Aged Blood Glucose
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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.
Humans Machine Learning Retrospective Studies Bilirubin Infant, Premature Gestational Age Hyperbilirubinemia, Neonatal Longitudinal Studies Regression Analysis Female Area Under Curve Internet Infant, Newborn Phototherapy Sensitivity and Specificity Male ROC Curve
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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 Vaccines Hepatitis B Antibodies Middle Aged Humans Family Health Disease Outbreaks Female Hepatitis A Hepatitis B virus Hepatitis B Antigens Adult DNA, Viral Male Hepatitis B, Chronic
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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...
Antiprotozoal Agents Parasitic Sensitivity Tests Trichomonas vaginalis Trophozoites Humans Female Plant Extracts Rutaceae Turkey
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Adolescent binge drinking disrupts normal trajectories of brain functional organization and personality maturation.

NeuroImage. Clinical Mar 31, 2019
Adolescent binge drinking has been associated with higher risks for the development of many health problems throughout the lifespan. Adolescents undergo multiple changes that involve the co-development processes of brain, personality and behavior; th...
Brain Adolescent Development Female Personality Development Adolescent Age of Onset Young Adult Humans Adult Connectome Time Factors Male Support Vector Machine Binge Drinking Longitudinal Studies Underage Drinking Magnetic Resonance Imaging Impulsive Behavior
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Use of machine learning in predicting clinical response to transcranial magnetic stimulation in comorbid posttraumatic stress disorder and major depression: A resting state electroencephalography study.

Journal of affective disorders Mar 30, 2019
BACKGROUND: Repetitive transcranial magnetic stimulation (TMS) is clinically effective for major depressive disorder (MDD) and investigational for other conditions including posttraumatic stress disorder (PTSD). Understanding the mechanisms of TMS ac...
Prefrontal Cortex Stress Disorders, Post-Traumatic Treatment Outcome Support Vector Machine Predictive Value of Tests Electroencephalography Self Report Transcranial Magnetic Stimulation Rhode Island Sensitivity and Specificity Male Middle Aged Depressive Disorder, Major Comorbidity Humans Machine Learning Female
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Effects of robotic rehabilitation on walking and balance in pediatric patients with hemiparetic cerebral palsy.

Gait & posture Mar 30, 2019
BACKGROUND: The most prominent characteristics of hemiparetic cerebral palsy (hCP) children are structural and functional asymmetries. These children have low walking speeds, endurance and poor balance. The robotic walking devices repeat and experien...
Humans Child Health Services Treatment Outcome Robotics Prospective Studies Exercise Therapy Female Cerebral Palsy Male Walking Speed Child, Preschool Child
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Automatic classification of ultrasound breast lesions using a deep convolutional neural network mimicking human decision-making.

European radiology Mar 29, 2019
OBJECTIVES: To evaluate a deep convolutional neural network (dCNN) for detection, highlighting, and classification of ultrasound (US) breast lesions mimicking human decision-making according to the Breast Imaging Reporting and Data System (BI-RADS).
Ultrasonography, Mammary Image Interpretation, Computer-Assisted Observer Variation Aged Adult Breast Neoplasms Middle Aged Humans ROC Curve Neural Networks, Computer Algorithms Retrospective Studies Clinical Decision-Making Female
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