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

Authors of this article:

Maarten Homburg¹ ;   Eline Meijer^{1, 2} ;   Matthijs Berends^{1, 3, 4} ;   Thijmen Kupers^{1, 2} ;   Tim Olde Hartman⁵ ;   Jean Muris⁶ ;   Evelien de Schepper⁷ ;   Premysl Velek⁷ ;   Jeroen Kuiper⁸ ;   Marjolein Berger¹ ;   Lilian Peters^{1, 2, 9}