A Natural Language Processing Model for COVID-19 Detection Based on Dutch General Practice Electronic Health Records by Using Bidirectional Encoder Representations From Transformers: Development and Validation Study

BACKGROUND: Natural language processing (NLP) models such as bidirectional encoder representations from transformers (BERT) hold promise in revolutionizing disease identification from electronic health records (EHRs) by potentially enhancing efficiency and accuracy. However, their practical applicat...

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Detalles Bibliográficos
Autores principales: Homburg, Maarten, Meijer, Eline, Berends, Matthijs, Kupers, Thijmen, Olde Hartman, Tim, Muris, Jean, de Schepper, Evelien, Velek, Premysl, Kuiper, Jeroen, Berger, Marjolein, Peters, Lilian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10563863/
https://www.ncbi.nlm.nih.gov/pubmed/37792444
http://dx.doi.org/10.2196/49944

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10563863/
https://www.ncbi.nlm.nih.gov/pubmed/37792444
http://dx.doi.org/10.2196/49944

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