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Development of short forms for screening children’s dental caries and urgent treatment needs using item response theory and machine learning methods

PLoS ONE(2024)10.1371/journal.pone.0299947Source: DataRank Database

Development of short forms for screening children’s dental caries and urgent treatment needs using item response theory and machine learning methods is a research paper published in PLoS ONE (2024). On theSindex it has a DataRank of 0. It has been cited 8 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access8 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (3 grants)Impact (FWCI 2.51)OA: goldTopics (22)IDs (PubMed, PMC, OpenAlex)

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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Authors (11)

Marvin Marcus ORCID,Carl A. Maida ORCID,Yuetong Lyu,Ron D. Hays ORCID,Yan Wang ORCID

Live enrichment

PubMed:38517846 PMC:PMC10959356 OpenAlex:https://openalex.org/W4393068087

national institute of dental and craniofacial research

Grant: U01DE022648

national institute of dental and craniofacial research

Grant: U01DE029491

national institute of mental health

Grant: T32MH080634

FWCI

2.51

Citation Percentile

0.9%

Citation Trend

2025

2026

goldLicense: cc-by

journalhttps://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0299947&type=printable

publisherhttps://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0299947&type=printable

publisherhttps://dx.plos.org/10.1371/journal.pone.0299947

journalhttps://doi.org/10.1371/journal.pone.0299947

repositoryhttps://pubmed.ncbi.nlm.nih.gov/38517846

Fields of Study

Dental Health and Care UtilizationOral microbiology and periodontitis researchSurvey Methodology and Nonresponse

MeSH Terms

Machine LearningBayes TheoremCross-Sectional StudiesDental CariesHumansSurveys and Questionnaires

Keywords

Logistic regressionProxy (statistics)Machine learningRandom forestNaive Bayes classifierMedicineBayes' theoremReceiver operating characteristicSupport vector machineCross-sectional studyArtificial intelligenceComputer sciencePathology