AIMC Topic: ROC Curve

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Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer.

JAMA Dec 12, 2017
IMPORTANCE: Application of deep learning algorithms to whole-slide pathology images can potentially improve diagnostic accuracy and efficiency.
Algorithms Female Breast Neoplasms ROC Curve Lymphatic Metastasis Humans Machine Learning Pathologists Pathology, Clinical
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Thyroglobulin levels before radioactive iodine therapy and dynamic risk stratification after 1 year in patients with differentiated thyroid cancer.

Archives of endocrinology and metabolism Dec 1, 2017
OBJECTIVES: We sought to assess the relationship between stimulated thyroglobulin (sTg) before radioactive iodine therapy (RIT), and the dynamic risk stratification 1 year after treatment, and to establish the utility of the sTg as a predictor of res...
Time Factors Adult Iodine Radioisotopes Humans Thyroglobulin Biomarkers, Tumor Thyroid Neoplasms Prognosis Adenocarcinoma, Follicular ROC Curve Male Retrospective Studies Carcinoma, Papillary Treatment Outcome Middle Aged Female Risk Assessment Neoplasm Staging
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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)....
Diagnostic Tests, Routine Natriuretic Peptide, Brain Echocardiography, Doppler Aged Chronic Disease Risk Assessment Aged, 80 and over Area Under Curve Databases, Factual Severity of Illness Index Sensitivity and Specificity Humans Peptide Fragments Biomarkers China Male Heart Failure Retrospective Studies Middle Aged Sex Factors ROC Curve Female Age Factors
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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 Immunoglobulin Variable Region Machine Learning 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 Machine Learning Algorithms Reproducibility of Results ROC Curve Fundus Oculi Wet Macular Degeneration
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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.
Data Mining Israel Acute Coronary Syndrome Aged Algorithms Survival Rate Humans Surveys and Questionnaires Prognosis Machine Learning Male Hospital Mortality Retrospective Studies Middle Aged ROC Curve Female Risk Assessment ST Elevation Myocardial Infarction Risk Factors Registries
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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...
Biopsy Sequence Analysis, RNA Idiopathic Pulmonary Fibrosis Diagnosis, Differential Gene Expression Young Adult Adult Sensitivity and Specificity Male Middle Aged Lung Adolescent Cohort Studies ROC Curve Logistic Models Machine Learning Tomography, X-Ray Computed Female Aged Aged, 80 and over 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...
Machine Learning Biomedical Research ROC Curve Support Vector Machine Databases, Bibliographic Randomized Controlled Trials as Topic Natural Language Processing Review Literature as Topic Information Storage and Retrieval Crowdsourcing
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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 ...
Humans Neural Networks, Computer Decision Support Techniques Databases, Factual Middle Aged Syncope Risk Assessment Cardiology Service, Hospital Time Factors Risk Factors ROC Curve Aged Predictive Value of Tests Electrocardiography Aged, 80 and over Prognosis Triage Adult Clinical Decision-Making Area Under Curve Male Female Emergency Service, Hospital Reproducibility of Results Italy
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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...
Image Processing, Computer-Assisted Models, Statistical Consumer Behavior Video Recording Machine Learning Algorithms Female Male ROC Curve Humans
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