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Using Twitter to Measure Public Discussion of Diseases: A Case Study
BACKGROUND: Twitter is increasingly used to estimate disease prevalence, but such measurements can be biased, due to both biased sampling and inherent ambiguity of natural language. OBJECTIVE: We characterized the extent of these biases and how they vary with disease. METHODS: We correlated self-rep...
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| Publicado en: | JMIR Public Health Surveill |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
JMIR Publications
2015
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4763717/ https://ncbi.nlm.nih.gov/pubmed/26925459 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2196/publichealth.3953 |
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