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Generalizability of Machine Learning Models: Quantitative Evaluation of Three Methodological Pitfalls

Radiology Artificial Intelligence(2022)10.1148/ryai.220028Source: DataRank Database

Generalizability of Machine Learning Models: Quantitative Evaluation of Three Methodological Pitfalls is a research paper published in Radiology Artificial Intelligence (2022). On theSindex it has a DataRank of 0. It has been cited 134 times.

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Open Access134 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (5 grants)OA: hybridTopics (20)IDs (PubMed, PMC)SDGs (1)

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Authors (6)

Katie Ovens ORCID,Rajiv Gupta ORCID,Caroline Reinhold ORCID,Alan Spatz ORCID,Reza Forghani ORCID

Live enrichment

PubMed:36721408 PMC:PMC9885377

National Institutes of Health

Grant: 5R01CA212382-05

Spectral precision imaging for early diagnosis of colorectal lesions with CT colonography

National Institutes of Health

Grant: 5R01EB024343-04

Dense Array Image compatible EEG for enhanced neonatal care

National Institutes of Health

Grant: 1R03EB032038-01

A Simulation Framework for X-Ray Phase-Contrast Imaging

Canadian Institutes of Health Research

Grant: unidentified

unidentified

Fondation de l’Association des radiologistes du Québec

hybridLicense: cc-by

publisherhttps://doi.org/10.1148/ryai.220028

publisherhttp://pubs.rsna.org/doi/pdf/10.1148/ryai.220028

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/9885377

Europe_PMChttps://europepmc.org/articles/PMC9885377

Europe_PMChttps://europepmc.org/articles/PMC9885377?pdf=render

Fields of Study

03 medical and health sciences0302 clinical medicine

Keywords

DiagnosisPrognosisGeneralizabilityMachine LearningMedical Image AnalysisModel evaluationRandom ForestDeep LearningConvolutional Neural Network (Cnn)FOS: Computer and information sciencesComputer Science - Machine LearningComputer Vision and Pattern Recognition (cs.CV)Image and Video Processing (eess.IV)Computer Science - Computer Vision and Pattern RecognitionFOS: Electrical engineering, electronic engineering, information engineeringElectrical Engineering and Systems Science - Image and Video ProcessingSpecial ReportMachine Learning (cs.LG)

Sustainable Development Goals

SDG 3: 3. Good health