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Extracting circumstances of Covid-19 transmission from free text with large language models

Abstract Identifying the circumstances of transmission of an emerging infectious disease rapidly is central for mitigation efforts. Here, we explore how large language models (LLMs) can automatically extract such circumstances from free-text descriptions in online surveys, in the context of Covid-19...

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Autors principals: Gaston Bizel-Bizellot, Simon Galmiche, Benoît Lelandais, Tiffany Charmet, Laurent Coudeville, Arnaud Fontanet, Christophe Zimmer
Format: Artigo
Idioma:Inglês
Publicat: Nature Portfolio 2025-07-01
Col·lecció:Nature Communications
Accés en línia:https://doi.org/10.1038/s41467-025-60762-w
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