AIMC Topic: False Positive Reactions

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Utility of Deep Learning Methods for Referability Classification of Age-Related Macular Degeneration.

JAMA ophthalmology Nov 1, 2018
This study uses fundus images from a national data set to assess 2 deep learning methods for referability classification of age-related macular degeneration.
Humans Neural Networks, Computer Reproducibility of Results Aged Predictive Value of Tests Macular Degeneration False Positive Reactions Ophthalmologists Sensitivity and Specificity Diagnosis, Computer-Assisted Deep Learning
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Hemodynamic Instability and Cardiovascular Events After Traumatic Brain Injury Predict Outcome After Artifact Removal With Deep Belief Network Analysis.

Journal of neurosurgical anesthesiology Oct 1, 2018
BACKGROUND: Hemodynamic instability and cardiovascular events heavily affect the prognosis of traumatic brain injury. Physiological signals are monitored to detect these events. However, the signals are often riddled with faulty readings, which jeopa...
Humans Machine Learning Cerebrovascular Circulation Tachycardia Intracranial Hypotension Prevalence Adult Artifacts Hemodynamics Female Cardiovascular Diseases Male False Positive Reactions Adolescent Aged Brain Injuries, Traumatic Young Adult Middle Aged Predictive Value of Tests
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False-positive Troponin I Assay elevation due to occult Mixed Cryoglobulinemic Vasculitis.

Reviews in cardiovascular medicine Jun 30, 2018
A 53-year-old man with active hepatitis C and cirrhosis presented with a vasculitic rash, myalgias, and fatigue, and was found to have an elevated cardiac troponin I up to 15.7 ng/mL with normal electrocardiogram, echocardiogram, and coronary angiogr...
Immunoassay Rheumatoid Factor Hepatitis C Up-Regulation Male Troponin I Heart Diseases False Positive Reactions Humans Vasculitis Middle Aged Cryoglobulinemia Biomarkers Liver Cirrhosis, Alcoholic Predictive Value of Tests Diagnostic Errors
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Machine-Learning Prediction of Drug-Induced Cardiac Arrhythmia: Analysis of Gene Expression and Clustering.

Critical reviews in biomedical engineering Jan 1, 2018
A marked delay in the electrical repolarization of heart ventricles is characterized by prolongation of the Q-T wave (QT) interval on a surface electrocardiogram. Such a delay can lead to potentially life-threatening cardiac arrhythmia (torsades de p...
False Positive Reactions Torsades de Pointes Heart Drug Evaluation, Preclinical Heart Ventricles Gene Expression Regulation Clinical Trials as Topic Arrhythmias, Cardiac MAP Kinase Signaling System Support Vector Machine Cluster Analysis Signal Processing, Computer-Assisted Female Mice Reproducibility of Results Rats Drug Design Sensitivity and Specificity Electrocardiography Humans Gene Expression Profiling Animals Machine Learning Male
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Improving precision in concept normalization.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing Jan 1, 2018
Most natural language processing applications exhibit a trade-off between precision and recall. In some use cases for natural language processing, there are reasons to prefer to tilt that trade-off toward high precision. Relying on the Zipfian distri...
Precision Medicine Electronic Health Records Reproducibility of Results Computational Biology Humans Biological Ontologies False Positive Reactions Natural Language Processing PubMed Data Mining
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Discriminating solitary cysts from soft tissue lesions in mammography using a pretrained deep convolutional neural network.

Medical physics Mar 1, 2017
PURPOSE: It is estimated that 7% of women in the western world will develop palpable breast cysts in their lifetime. Even though cysts have been correlated with risk of developing breast cancer, many of them are benign and do not require follow-up. W...
Humans Neural Networks, Computer Female Mammography Diagnosis, Differential Breast Neoplasms False Positive Reactions Area Under Curve ROC Curve Breast Cyst Radiographic Image Interpretation, Computer-Assisted Datasets as Topic
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Restricted Boltzmann machines based oversampling and semi-supervised learning for false positive reduction in breast CAD.

Bio-medical materials and engineering Jan 1, 2015
The false-positive reduction (FPR) is a crucial step in the computer aided detection system for the breast. The issues of imbalanced data distribution and the limitation of labeled samples complicate the classification procedure. To overcome these ch...
False Positive Reactions Stochastic Processes Humans Radiographic Image Enhancement Neural Networks, Computer Radiographic Image Interpretation, Computer-Assisted Breast Neoplasms Supervised Machine Learning Female Algorithms Sample Size Models, Statistical Pattern Recognition, Automated Computer Simulation Reproducibility of Results Data Interpretation, Statistical Sensitivity and Specificity
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