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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

This list was created by a GP (MH) and a microbiologist (M Berends), and all GP consultations linked to at least one of these codes were extracted (Multimedia Appendix 1). Data from the registry databases were pseudonymized such that the researchers could not access individual patient details.

Maarten Homburg, Eline Meijer, Matthijs Berends, Thijmen Kupers, Tim Olde Hartman, Jean Muris, Evelien de Schepper, Premysl Velek, Jeroen Kuiper, Marjolein Berger, Lilian Peters

J Med Internet Res 2023;25:e49944