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Receiver operating characteristic curves and confidence bands for support vector machines

UNC Libraries(2024)10.17615/azww-yq29Source: DataRank Database

Receiver operating characteristic curves and confidence bands for support vector machines is a research paper published in UNC Libraries (2024). On theSindex it has a DataRank of 0.208. It has been cited 3 times.

N/A

0.208DataRank · unranked

Scored on demand from live citation data

Open Access3 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (10 grants)Impact (FWCI 0.24)OA: greenTopics (35)IDs (PubMed, OpenAlex)SDGs (2)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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DataRank Breakdown

Base Score 100%Citation Network 0%

Base Score Contribution

0.208

From this paper's citation signal

Citation Network Contribution

Citation network not refreshed for this result

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Authors (8)

Eric B. Laber ORCID,Samer S. El‐Kamary,Charles M. Perou ORCID,Fatma M. Shebl ORCID,Cheng Fan ORCID

Live enrichment

PubMed:30945415 OpenAlex:https://openalex.org/W2887617961

National Institutes of Health

Grant: 5R01DE024984-02

Spatiotemporal models for periodontal disease monitoring and recall frequencies

National Science Foundation

Grant: 1557733

QuBBD: Collaborative Research: Precision medicine and the management of infectious diseases

National Science Foundation

Grant: 1513579

Optimal Decision Strategies for Large Spatio-Temporal Decision Problems

National Institutes of Health

Grant: 5UL1TR001111-05

North Carolina Translational & Clinical Sciences Institute (NC TraCS)

National Institutes of Health

Grant: 5P01CA142538-07

Statistical Methods for Cancer Clinical Trials

National Institutes of Health

Grant: 5P01CA142538-09

Statistical Methods for Cancer Clinical Trials

National Institutes of Health

Grant: 5U01AI058372-05

DETERMINANTS OF HEPATITIS C &E MORBIDITY IN EGYPT

National Institutes of Health

Grant: 5P50CA058223-12

SPORE in Breast Cancer

National Institutes of Health

Grant: 5U01HD039164-02

DETERMINANTS OF HEPATITIS C &E MORBIDITY IN EGYPT

National Institutes of Health

Grant: 1T32CA201159-01

Big Data to Knowledge Training Program

FWCI

0.24

Citation Percentile

0.6%

Citation Trend

2019

2023

2024

greenLicense: Wiley Online Library User Agreement

repositoryhttps://doi.org/10.17615/azww-yq29

https://doi.org/10.1111/biom.13365

https://rss.onlinelibrary.wiley.com/doi/am-pdf/10.1111/biom.13365

https://dx.doi.org/10.48550/arxiv.1807.06711

https://dx.doi.org/10.17615/azww-yq29

Fields of Study

Machine Learning and Data ClassificationImbalanced Data Classification TechniquesMachine Learning in Healthcare01 natural sciences0101 mathematics

Keywords

Receiver operating characteristicSupport vector machineConfidence intervalFalse positive paradoxArtificial intelligencePattern recognition (psychology)Sensitivity (control systems)Nonparametric statisticsBinary classificationMathematicsEstimatorComputer scienceMachine learningStatisticsEngineeringFOS: Computer and information sciencesComputer Science - Machine LearningBreast NeoplasmsMachine Learning (stat.ML)Applications of statistics to biology and medical sciences; meta analysisMachine Learning (cs.LG)classificationROC CurveStatistics - Machine LearningHumansComputer SimulationFemalediagnostic medicineoutcome weighted learningProbability

Sustainable Development Goals

SDG 0: Good health and well-beingSDG 0: Peace, Justice and strong institutions