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Self-reported COVID-19 symptoms on Twitter: an analysis and a research resource
OBJECTIVE: To mine Twitter and quantitatively analyze COVID-19 symptoms self-reported by users, compare symptom distributions across studies, and create a symptom lexicon for future research. MATERIALS AND METHODS: We retrieved tweets using COVID-19-related keywords, and performed semiautomatic filt...
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| Publicado no: | J Am Med Inform Assoc |
|---|---|
| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7337747/ https://ncbi.nlm.nih.gov/pubmed/32620975 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jamia/ocaa116 |
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