AIMC Topic: False Positive Reactions

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Automatic diagnosis of fungal keratitis using data augmentation and image fusion with deep convolutional neural network.

Computer methods and programs in biomedicine Aug 9, 2019
BACKGROUND AND OBJECTIVES: Fungal keratitis is caused by inflammation of the cornea that results from infection by fungal organisms. The lack of an early effective diagnosis often results in serious complications even blindness. Confocal microscopy i...
Mycoses Pattern Recognition, Automated False Positive Reactions Keratitis Diagnosis, Computer-Assisted Deep Learning Image Processing, Computer-Assisted Microscopy, Confocal Humans Neural Networks, Computer Algorithms Databases, Factual Reproducibility of Results Cornea
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Comparison of text processing methods in social media-based signal detection.

Pharmacoepidemiology and drug safety Aug 7, 2019
PURPOSE: Adverse event (AE) identification in social media (SM) can be performed using various types of natural language processing (NLP) and machine learning (ML). These methods can be categorized by complexity and precision level. Co-occurrence-bas...
Retrospective Studies Pharmacovigilance Sensitivity and Specificity Datasets as Topic False Negative Reactions False Positive Reactions Social Media Adverse Drug Reaction Reporting Systems Natural Language Processing Feasibility Studies Drug-Related Side Effects and Adverse Reactions Data Collection
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On the interpretability of machine learning-based model for predicting hypertension.

BMC medical informatics and decision making Jul 29, 2019
BACKGROUND: Although complex machine learning models are commonly outperforming the traditional simple interpretable models, clinicians find it hard to understand and trust these complex models due to the lack of intuition and explanation of their pr...
Exercise Test Datasets as Topic Cardiorespiratory Fitness False Positive Reactions Machine Learning Female Humans Risk Factors Male Hypertension
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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.
Retrospective Studies Female Reproducibility of Results Sensitivity and Specificity Male Humans Algorithms Wet Macular Degeneration Photography Ophthalmologists Choroidal Neovascularization Predictive Value of Tests Area Under Curve Middle Aged Fundus Oculi Diagnosis, Computer-Assisted False Positive Reactions Deep Learning Fluorescein Angiography ROC Curve Visual Acuity
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A CAD system for pulmonary nodule prediction based on deep three-dimensional convolutional neural networks and ensemble learning.

PloS one Jul 12, 2019
BACKGROUND: Detection of pulmonary nodules is an important aspect of an automatic detection system. Incomputer-aided diagnosis (CAD) systems, the ability to detect pulmonary nodules is highly important, which plays an important role in the diagnosis ...
Imaging, Three-Dimensional Radiographic Image Interpretation, Computer-Assisted Humans False Positive Reactions Lung Neoplasms Neural Networks, Computer Multiple Pulmonary Nodules Tomography, X-Ray Computed Reference Standards Solitary Pulmonary Nodule Diagnosis, Computer-Assisted Early Detection of Cancer
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AMC-Net: Asymmetric and multi-scale convolutional neural network for multi-label HPA classification.

Computer methods and programs in biomedicine Jul 9, 2019
BACKGROUND AND OBJECTIVES: The multi-label Human Protein Atlas (HPA) classification can yield a better understanding of human diseases and help doctors to enhance the automatic analysis of biomedical images. The existing automatic protein recognition...
Pattern Recognition, Automated Cell Nucleus Algorithms False Positive Reactions Phenotype Reproducibility of Results Image Processing, Computer-Assisted Proteins Databases, Protein Humans Microscopy, Fluorescence Neural Networks, Computer Microscopy Probability Microtubules
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Evaluation of an AI system for the automated detection of glaucoma from stereoscopic optic disc photographs: the European Optic Disc Assessment Study.

Eye (London, England) Jul 2, 2019
OBJECTIVES: To evaluate the performance of a deep learning based Artificial Intelligence (AI) software for detection of glaucoma from stereoscopic optic disc photographs, and to compare this performance to the performance of a large cohort of ophthal...
Observer Variation Optic Disk Optic Nerve Diseases False Positive Reactions Photography Deep Learning Clinical Competence ROC Curve Europe Predictive Value of Tests Ophthalmologists Glaucoma, Open-Angle Optometrists Humans Artificial Intelligence Retrospective Studies Reproducibility of Results Sensitivity and Specificity Diagnosis, Computer-Assisted
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Scale-space approximated convolutional neural networks for retinal vessel segmentation.

Computer methods and programs in biomedicine Jun 29, 2019
BACKGROUND AND OBJECTIVE: Retinal fundus images are widely used to diagnose retinal diseases and can potentially be used for early diagnosis and prevention of chronic vascular diseases and diabetes. While various automatic retinal vessel segmentation...
Retinal Vessels Humans Signal Processing, Computer-Assisted Neural Networks, Computer Fundus Oculi Algorithms False Positive Reactions Deep Learning Retinal Diseases ROC Curve Normal Distribution Image Processing, Computer-Assisted Area Under Curve
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Minimizing postprandial hypoglycemia in Type 1 diabetes patients using multiple insulin injections and capillary blood glucose self-monitoring with machine learning techniques.

Computer methods and programs in biomedicine Jun 27, 2019
BACKGROUND: Diabetic patients treated with intensive insulin therapies require a tight glycemic control and may benefit from advanced tools to predict blood glucose (BG) concentration levels and hypo/hyperglycemia events. Prediction systems using mac...
False Positive Reactions Normal Distribution Insulin Infusion Systems Capillaries Hypoglycemic Agents Humans Bayes Theorem Hypoglycemia Machine Learning Postprandial Period Algorithms Blood Glucose Self-Monitoring Computer Simulation Male Retrospective Studies Middle Aged Female Blood Glucose Reproducibility of Results Insulin Adult Diabetes Mellitus, Type 1 Sensitivity and Specificity
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Automatic Multi-Level In-Exhale Segmentation and Enhanced Generalized S-Transform for wheezing detection.

Computer methods and programs in biomedicine Jun 26, 2019
BACKGROUND AND OBJECTIVE: Wheezing is a common symptom of patients caused by asthma and chronic obstructive pulmonary diseases. Wheezing detection identifies wheezing lung sounds and helps physicians in diagnosis, monitoring, and treatment of pulmona...
Machine Learning Software Algorithms Female Reproducibility of Results Adult Sensitivity and Specificity Male Support Vector Machine Monitoring, Physiologic Humans Pattern Recognition, Automated Models, Statistical False Positive Reactions Signal Processing, Computer-Assisted Respiratory Sounds Telemedicine Artifacts Medical Informatics
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