AIMC Topic: Female

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A Diagnostic Prediction Model of Acute Symptomatic Portal Vein Thrombosis.

Annals of vascular surgery Jul 25, 2019
BACKGROUND: The aim of this study was to develop a diagnostic prediction model to improve identification of acute symptomatic portal vein thrombosis (PVT).
Adult Male Middle Aged Diagnosis, Computer-Assisted China Support Vector Machine Venous Thrombosis Predictive Value of Tests Acute Disease Decision Support Techniques Retrospective Studies Female Reproducibility of Results Risk Factors Humans Portal Vein
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Development and validation of a deep-learning algorithm for the detection of neovascular age-related macular degeneration from colour fundus photographs.

Clinical & experimental ophthalmology Jul 25, 2019
IMPORTANCE: Detection of early onset neovascular age-related macular degeneration (AMD) is critical to protecting vision.
Male Middle Aged Diagnosis, Computer-Assisted Deep Learning ROC Curve Retrospective Studies Female Reproducibility of Results Sensitivity and Specificity Fluorescein Angiography Wet Macular Degeneration Photography Ophthalmologists Choroidal Neovascularization Visual Acuity Predictive Value of Tests Area Under Curve Fundus Oculi False Positive Reactions Humans Algorithms
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Quantitative EEG reactivity and machine learning for prognostication in hypoxic-ischemic brain injury.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology Jul 25, 2019
OBJECTIVE: Electroencephalogram (EEG) reactivity is a robust predictor of neurological recovery after cardiac arrest, however interrater-agreement among electroencephalographers is limited. We sought to evaluate the performance of machine learning me...
Middle Aged Electroencephalography Hypoxia-Ischemia, Brain Retrospective Studies Female Aged Adult Humans Male Machine Learning Prognosis
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Machine Learning Models in Type 2 Diabetes Risk Prediction: Results from a Cross-sectional Retrospective Study in Chinese Adults.

Current medical science Jul 25, 2019
Type 2 diabetes mellitus (T2DM) has become a prevalent health problem in China, especially in urban areas. Early prevention strategies are needed to reduce the associated mortality and morbidity. We applied the combination of rules and different mach...
Diabetes Mellitus, Type 2 Adult Cross-Sectional Studies Male Risk Assessment China Humans Machine Learning Retrospective Studies Female
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Spread of α-synuclein pathology through the brain connectome is modulated by selective vulnerability and predicted by network analysis.

Nature neuroscience Jul 25, 2019
Studies of patients afflicted by neurodegenerative diseases suggest that misfolded proteins spread through the brain along anatomically connected networks, prompting progressive decline. Recently, mouse models have recapitulated the cell-to-cell tran...
Linear Models Connectome Leucine-Rich Repeat Serine-Threonine Protein Kinase-2 Brain Mapping alpha-Synuclein Neurons Cell Death Neural Networks, Computer Brain Female Animals Male Mice Models, Neurological Mice, Inbred C57BL
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Convolutional Neural Network for Automated FLAIR Lesion Segmentation on Clinical Brain MR Imaging.

AJNR. American journal of neuroradiology Jul 25, 2019
BACKGROUND AND PURPOSE: Most brain lesions are characterized by hyperintense signal on FLAIR. We sought to develop an automated deep learning-based method for segmentation of abnormalities on FLAIR and volumetric quantification on clinical brain MRIs...
Humans Retrospective Studies Sensitivity and Specificity Male Middle Aged Deep Learning Adolescent Female Aged Aged, 80 and over Young Adult Adult Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Brain Diseases Neuroimaging
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Comparisons among Machine Learning Models for the Prediction of Hypercholestrolemia Associated with Exposure to Lead, Mercury, and Cadmium.

International journal of environmental research and public health Jul 25, 2019
Lead, mercury, and cadmium are common environmental pollutants in industrialized countries, but their combined impact on hypercholesterolemia (HC) is poorly understood. The aim of this study was to compare the performance of various machine learning ...
ROC Curve Logistic Models Support Vector Machine Lead Decision Trees Republic of Korea Environmental Pollutants Humans Female Environmental Exposure Machine Learning Adult Mercury Forecasting Male Cadmium Middle Aged Hypercholesterolemia
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The linkage between the perception of neighbourhood and physical activity in Guangzhou, China: using street view imagery with deep learning techniques.

International journal of health geographics Jul 25, 2019
BACKGROUND: Neighbourhood environment characteristics have been found to be associated with residents' willingness to conduct physical activity (PA). Traditional methods to assess perceived neighbourhood environment characteristics are often subjecti...
Deep Learning China Humans Cities Residence Characteristics Female Environment Design Adult Walking Male Random Allocation Exercise
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Variation in the Thickness of Knee Cartilage. The Use of a Novel Machine Learning Algorithm for Cartilage Segmentation of Magnetic Resonance Images.

The Journal of arthroplasty Jul 24, 2019
BACKGROUND: The variation in articular cartilage thickness (ACT) in healthy knees is difficult to quantify and therefore poorly documented. Our aims are to (1) define how machine learning (ML) algorithms can automate the segmentation and measurement ...
Body Mass Index Femur Aged Humans Magnetic Resonance Imaging Osteoarthritis, Knee Male Machine Learning Knee Joint Magnetic Resonance Spectroscopy Middle Aged Algorithms Multivariate Analysis Disease Progression Cartilage, Articular Female Image Processing, Computer-Assisted
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A new machine learning technique for an accurate diagnosis of coronary artery disease.

Computer methods and programs in biomedicine Jul 24, 2019
BACKGROUND AND OBJECTIVE: Coronary artery disease (CAD) is one of the commonest diseases around the world. An early and accurate diagnosis of CAD allows a timely administration of appropriate treatment and helps to reduce the mortality. Herein, we de...
Male Machine Learning Diagnosis, Computer-Assisted Models, Cardiovascular Humans Algorithms Support Vector Machine Databases, Factual Coronary Artery Disease Female Data Mining
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