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A cross-institutional evaluation on breast cancer phenotyping NLP algorithms on electronic health records

Computational and Structural Biotechnology Journal(2023)10.1016/j.csbj.2023.08.018Source: DataRank Database

A cross-institutional evaluation on breast cancer phenotyping NLP algorithms on electronic health records is a research paper published in Computational and Structural Biotechnology Journal (2023). On theSindex it has a DataRank of 0. It has been cited 18 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access18 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (7 grants)OA: goldTopics (4)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 (7)

Nan Wang ORCID,Liwei Wang ORCID,Ju Sun ORCID,Anne Blaes ORCID,Hongfang Liu ORCID

Live enrichment

PubMed:37680211 PMC:PMC10480628

National Center for Advancing Translational Sciences

Grant: UL1TR002494

National Center for Complementary and Integrative Health

Grant: R01AT009457

National Institute on Aging

Grant: R01AG078154

NCI NIH HHS

Grant: R01 CA287413

Clinical and Translational Science Institute, University of Minnesota

Indiana Clinical and Translational Sciences Institute

National Institutes of Health

goldLicense: cc-by-nc-nd

publisherhttps://www.csbj.org/article/S2001-0370(23)00293-3/pdf

publisherhttps://api.elsevier.com/content/article/PII:S2001037023002933?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S2001037023002933?httpAccept=text/plain

publisherhttps://spj.science.org/doi/pdf/10.1016/j.csbj.2023.08.018

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC10480628/pdf/main.pdf

Keywords

GeneralizabilityElectronic Health RecordsInformation ExtractionNatural Language Processing