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Performance of Automatic De-identification Across Different Note Types

arXiv (Cornell University)(2021)10.48550/arxiv.2102.11032Source: DataRank Database

Performance of Automatic De-identification Across Different Note Types is a research paper published in arXiv (Cornell University) (2021). On theSindex it has a DataRank of 0.104. It has been cited 1 time.

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0.104DataRank · unranked

Scored on demand from live citation data

Open Access1 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (3 grants)OA: greenTopics (24)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

0.104

From this paper's citation signal

Citation Network Contribution

Citation network not refreshed for this result

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Authors (5)

David H. Wayne,Kahyun Lee ORCID,Özlem Uzuner ORCID,Meliha Yetişgen ORCID,Nicholas J Dobbins ORCID

Live enrichment

PubMed:20819859 OpenAlex:https://openalex.org/W3130818493

National Institutes of Health

Grant: 3UL1TR002319-02S1

Transform Dissemination and Implementation Science in CTSA Programs

National Institutes of Health

Grant: 2R15LM013209-02A1

Joint learning methods for event and relation extraction from clinical narratives

National Institutes of Health

Grant: 1R15LM013209-01

Leveraging Unlabeled and Pseudo Data for Clinical Information Extraction

greenLicense: CC BY

repositoryhttps://arxiv.org/pdf/2102.11032

repositoryhttp://arxiv.org/abs/2102.11032

repositoryhttps://doi.org/10.48550/arxiv.2102.11032

https://dx.doi.org/10.48550/arxiv.2102.11032

https://arxiv.org/abs/2102.11032

Fields of Study

Biomedical Text Mining and OntologiesElectronic Health Records SystemsData Quality and ManagementComputation and Language (cs.CL)FOS: Computer and information sciences0202 electrical engineering, electronic engineering, information engineering02 engineering and technology

Keywords

ConfidentialityIdentification (biology)InstitutionHealth careProtected health informationComputer scienceSet (abstract data type)Patient confidentialityData scienceInternet privacyPolitical scienceComputer securityHealth policyLawFOS: Computer and information sciencesComputer Science - Computation and LanguageComputation and Language (cs.CL)

Sustainable Development Goals

SDG 3: 3. Good healthSDG 0: Partnerships for the goals