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Article

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

Journal of thrombosis and haemostasis : JTH - 1 Jul 2026

Jafari Omid, Ma Shengling, Lam Barbara D, Jiang Jun Y, Zhou Emily, Ranjan Mrinal, Ryu Justine, Bandyo Raka, Maghsoudi Arash, Peng Bo, Amos Christopher I, Oluyomi Abiodun, Fillmore Nathanael R, La Jennifer, Li Ang

Abstract excerpt

BACKGROUND: Accurate and rapid phenotyping of venous thromboembolism (VTE) in longitudinal studies is important. A natural language processing (NLP) tool externally validated in representative patients is lacking. OBJECTIVES: To train and validate an efficient NLP model to detect incident VTE event. METHODS: We designed a novel NLP platform, NLPMed, to assist thrombosis researchers with data preprocessing,...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 40754035
DOI: 10.1016/j.jtha.2025.07.021
PMCID: PMC12360494

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

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