Comparison of pretrained transformer-based models for influenza and COVID-19 detection using social media text data in Saskatchewan, Canada

BACKGROUND: The use of social media data provides an opportunity to complement traditional influenza and COVID-19 surveillance methods for the detection and control of outbreaks and informing public health interventions. OBJECTIVE: The first aim of this study is to investigate the degree to which Tw...

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Detalles Bibliográficos
Autores principales: Tian, Yuan, Zhang, Wenjing, Duan, Lujie, McDonald, Wade, Osgood, Nathaniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Digital Health
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10338115/
https://www.ncbi.nlm.nih.gov/pubmed/37448834
http://dx.doi.org/10.3389/fdgth.2023.1203874

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10338115/
https://www.ncbi.nlm.nih.gov/pubmed/37448834
http://dx.doi.org/10.3389/fdgth.2023.1203874

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