Using Twitter data to understand public perceptions of approved versus off-label use for COVID-19-related medications

OBJECTIVE: Understanding public discourse on emergency use of unproven therapeutics is essential to monitor safe use and combat misinformation. We developed a natural language processing-based pipeline to understand public perceptions of and stances on coronavirus disease 2019 (COVID-19)-related dru...

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Detalles Bibliográficos
Autores principales: Hua, Yining, Jiang, Hang, Lin, Shixu, Yang, Jie, Plasek, Joseph M, Bates, David W, Zhou, Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Research and Applications
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9278189/
https://www.ncbi.nlm.nih.gov/pubmed/35775946
http://dx.doi.org/10.1093/jamia/ocac114

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9278189/
https://www.ncbi.nlm.nih.gov/pubmed/35775946
http://dx.doi.org/10.1093/jamia/ocac114

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