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Predicting patient enrollment in a telephone-based principal care management service using topic modeling

PLOS Digital Health(2025)10.1371/journal.pdig.0000992Source: DataRank Database

Predicting patient enrollment in a telephone-based principal care management service using topic modeling is a research paper published in PLOS Digital Health (2025). On theSindex it has a DataRank of 0. It has been cited 1 time.

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0DataRank · unranked

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Open Access1 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (1 grants)OA: goldTopics (3)IDs (PubMed, PMC)

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 (6)

Julie S. Ivy ORCID,Min Chi ORCID,Mitchell Plyler,Elaine Wells-Gray,María E. Mayorga ORCID

Live enrichment

PubMed:40966296 PMC:PMC12445525

National Institutes of Health

Grant: 1R44EY033251-01

Optimizing population health outcomes in diabetic retinopathy through personalized and scalable screening strategies

goldLicense: cc-by

publisherhttps://doi.org/10.1371/journal.pdig.0000992

repositoryhttps://doaj.org/article/d8d1c9b82c68475d880f67b2d86378ca

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/12445525

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC12445525/

Europe_PMChttps://europepmc.org/articles/PMC12445525

Fields of Study

03 medical and health sciences0302 clinical medicine

Keywords

Research Article