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

• Main Authors: Maarten Homburg (Author), Eline Meijer (Author), Matthijs Berends (Author), Thijmen Kupers (Author), Tim Olde Hartman (Author), Jean Muris (Author), Evelien de Schepper (Author), Premysl Velek (Author), Jeroen Kuiper (Author), Marjolein Berger (Author), Lilian Peters (Author)
• Format: Book
• Published: JMIR Publications, 2023-10-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

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, their practical applicatio...