Vaccine Adverse Event Mining of Twitter Conversations: 2-Phase Classification Study

BACKGROUND: Traditional monitoring for adverse events following immunization (AEFI) relies on various established reporting systems, where there is inevitable lag between an AEFI occurring and its potential reporting and subsequent processing of reports. AEFI safety signal detection strives to detec...

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Detalles Bibliográficos
Autores principales: Khademi Habibabadi, Sedigheh, Delir Haghighi, Pari, Burstein, Frada, Buttery, Jim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9247809/
https://www.ncbi.nlm.nih.gov/pubmed/35708760
http://dx.doi.org/10.2196/34305

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9247809/
https://www.ncbi.nlm.nih.gov/pubmed/35708760
http://dx.doi.org/10.2196/34305

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