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
Maarten Homburg*, Eline Meijer, Matthijs Berends, Thijmen Kupers, Tim Olde Hartman, Jean Muris, Evelien de Schepper, Premysl Velek, Jeroen Kuiper, Marjolein Berger, Lilian Peters
Research output: Contribution to journal › Article › Academic › peer-review
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