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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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JMIR Publications
2022
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| 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 |