AIMC Topic: ROC Curve

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NT-proBNP test with improved accuracy for the diagnosis of chronic heart failure.

Medicine Dec 1, 2017
The circulating concentration of N-terminal pro-brain natriuretic peptide (NT-proBNP) has been shown to be a diagnostic tool for the detection of heart failure. Several factors influence NT-proBNP levels including age, sex, and body mass index (BMI)....
Echocardiography, Doppler Middle Aged Risk Assessment Heart Failure Severity of Illness Index ROC Curve Sex Factors Female China Age Factors Diagnostic Tests, Routine Aged Chronic Disease Natriuretic Peptide, Brain Aged, 80 and over Area Under Curve Humans Sensitivity and Specificity Peptide Fragments Databases, Factual Male Biomarkers Retrospective Studies
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Prediction of delayed retention of antibodies in hydrophobic interaction chromatography from sequence using machine learning.

Bioinformatics (Oxford, England) Dec 1, 2017
MOTIVATION: The hydrophobicity of a monoclonal antibody is an important biophysical property relevant for its developability into a therapeutic. In addition to characterizing heterogeneity, Hydrophobic Interaction Chromatography (HIC) is an assay tha...
Amino Acids Hydrophobic and Hydrophilic Interactions Chromatography Sequence Analysis, Protein Machine Learning Immunoglobulin Variable Region ROC Curve Antibodies, Monoclonal
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Automated Grading of Age-Related Macular Degeneration From Color Fundus Images Using Deep Convolutional Neural Networks.

JAMA ophthalmology Nov 1, 2017
IMPORTANCE: Age-related macular degeneration (AMD) affects millions of people throughout the world. The intermediate stage may go undetected, as it typically is asymptomatic. However, the preferred practice patterns for AMD recommend identifying indi...
Humans Neural Networks, Computer Fundus Oculi Wet Macular Degeneration Machine Learning Algorithms Reproducibility of Results ROC Curve
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Machine learning for prediction of 30-day mortality after ST elevation myocardial infraction: An Acute Coronary Syndrome Israeli Survey data mining study.

International journal of cardiology Nov 1, 2017
BACKGROUND: Risk scores for prediction of mortality 30-days following a ST-segment elevation myocardial infarction (STEMI) have been developed using a conventional statistical approach.
Registries Data Mining Israel Acute Coronary Syndrome Surveys and Questionnaires Hospital Mortality ROC Curve ST Elevation Myocardial Infarction Prognosis Retrospective Studies Female Risk Factors Aged Survival Rate Humans Male Middle Aged Machine Learning Risk Assessment Algorithms
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Usual Interstitial Pneumonia Can Be Detected in Transbronchial Biopsies Using Machine Learning.

Annals of the American Thoracic Society Nov 1, 2017
RATIONALE: Usual interstitial pneumonia (UIP) is the histopathologic hallmark of idiopathic pulmonary fibrosis. Although UIP can be detected by high-resolution computed tomography of the chest, the results are frequently inconclusive, and pathology f...
ROC Curve Logistic Models Sequence Analysis, RNA Idiopathic Pulmonary Fibrosis Diagnosis, Differential Middle Aged Lung Adolescent Cohort Studies Gene Expression Biopsy Machine Learning Tomography, X-Ray Computed Female Aged Aged, 80 and over Young Adult Adult Sensitivity and Specificity Male Humans
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Identifying reports of randomized controlled trials (RCTs) via a hybrid machine learning and crowdsourcing approach.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2017
OBJECTIVES: Identifying all published reports of randomized controlled trials (RCTs) is an important aim, but it requires extensive manual effort to separate RCTs from non-RCTs, even using current machine learning (ML) approaches. We aimed to make th...
ROC Curve Support Vector Machine Randomized Controlled Trials as Topic Natural Language Processing Review Literature as Topic Machine Learning Biomedical Research Information Storage and Retrieval Crowdsourcing Databases, Bibliographic
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Neural networks as a tool to predict syncope risk in the Emergency Department.

Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology Nov 1, 2017
AIMS: There is no universally accepted tool for the risk stratification of syncope patients in the Emergency Department. The aim of this study was to investigate the short-term predictive accuracy of an artificial neural network (ANN) in stratifying ...
Triage Area Under Curve Emergency Service, Hospital Italy Syncope Time Factors ROC Curve Electrocardiography Predictive Value of Tests Female Cardiology Service, Hospital Neural Networks, Computer Aged, 80 and over Humans Reproducibility of Results Decision Support Techniques Adult Databases, Factual Risk Factors Male Prognosis Aged Middle Aged Clinical Decision-Making Risk Assessment
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Learning the Personalized Intransitive Preferences of Images.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Sep 1, 2017
Most of the previous studies on the user preferences assume that there is a personal transitive preference ranking of the consumable media like images. For example, the transitivity of preferences is one of the most important assumptions in the recom...
Video Recording ROC Curve Image Processing, Computer-Assisted Models, Statistical Consumer Behavior Humans Machine Learning Algorithms Female Male
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Development of an automated assessment tool for MedWatch reports in the FDA adverse event reporting system.

Journal of the American Medical Informatics Association : JAMIA Sep 1, 2017
OBJECTIVE: As the US Food and Drug Administration (FDA) receives over a million adverse event reports associated with medication use every year, a system is needed to aid FDA safety evaluators in identifying reports most likely to demonstrate causal ...
Models, Theoretical Support Vector Machine Natural Language Processing Drug-Related Side Effects and Adverse Reactions Data Mining United States Food and Drug Administration Adverse Drug Reaction Reporting Systems Machine Learning ROC Curve Logistic Models United States
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Deep Convolutional Neural Networks for Endotracheal Tube Position and X-ray Image Classification: Challenges and Opportunities.

Journal of digital imaging Aug 1, 2017
The goal of this study is to evaluate the efficacy of deep convolutional neural networks (DCNNs) in differentiating subtle, intermediate, and more obvious image differences in radiography. Three different datasets were created, which included presenc...
Humans Neural Networks, Computer ROC Curve Area Under Curve Datasets as Topic Radiography, Thoracic Radiography, Abdominal Intubation, Intratracheal
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