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Development and validation of venous thromboembolism–bidirectional encoder representations from transformers (VTE-BERT) natural language processing model

Journal of Thrombosis and Haemostasis(2025)10.1016/j.jtha.2025.07.021Source: DataRank Database

Development and validation of venous thromboembolism–bidirectional encoder representations from transformers (VTE-BERT) natural language processing model is a research paper published in Journal of Thrombosis and Haemostasis (2025). On theSindex it has a DataRank of 0. It has been cited 2 times.

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Open Access2 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 2.17)OA: greenTopics (24)IDs (PubMed, 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 (15)

Shengling Ma ORCID,Barbara D. Lam ORCID,Jun Yang Jiang ORCID,Emily Zhou ORCID,Mrinal Ranjan ORCID

Live enrichment

PubMed:40754035 OpenAlex:https://openalex.org/W4412957332

National Heart, Lung, and Blood Institute

Grant: 3OT2OD032581-01S1

National Heart, Lung, and Blood Institute

Grant: K23 HL159271

Cancer Prevention and Research Institute of Texas

Grant: RR190104

FWCI

2.17

Citation Percentile

0.9%

Citation Trend

2026

greenLicense: http://creativecommons.org/licenses/by-nc-nd/4.0/

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/12360494

publisherhttps://api.elsevier.com/content/article/PII:S1538783625004842?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S1538783625004842?httpAccept=text/plain

journalhttps://doi.org/10.1016/j.jtha.2025.07.021

Fields of Study

Venous Thromboembolism Diagnosis and ManagementArtificial Intelligence in Healthcare and EducationExplainable Artificial Intelligence (XAI)

MeSH Terms

FemaleHumansMaleNatural Language ProcessingPhenotypeReproducibility of ResultsVenous ThromboembolismData MiningElectronic Health Records

Keywords

MedicineRecallCohortVenous thromboembolismArtificial intelligencePreprocessorVenous thrombosisPrecision and recallNatural language processingComputer scienceThrombosisInternal medicine