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

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

BackgroundNatural 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, th...

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Bibliographic Details
Main Authors: Maarten Homburg, Eline Meijer, Matthijs Berends, Thijmen Kupers, Tim Olde Hartman, Jean Muris, Evelien de Schepper, Premysl Velek, Jeroen Kuiper, Marjolein Berger, Lilian Peters
Format: Article
Language:English
Published: JMIR Publications 2023-10-01
Series:Journal of Medical Internet Research
Online Access:https://www.jmir.org/2023/1/e49944

Internet

https://www.jmir.org/2023/1/e49944

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