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Towards automating location-specific opioid toxicosurveillance from Twitter via data science methods
Social media may serve as an important platform for the monitoring of population-level opioid abuse in near real-time. Our objectives for this study were to (i) manually characterize a sample of opioid-mentioning Twitter posts, (ii) compare the rates of abuse/misuse related posts between prescriptio...
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| Опубликовано в: : | Stud Health Technol Inform |
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| Главные авторы: | , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
2019
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6774610/ https://ncbi.nlm.nih.gov/pubmed/31437940 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3233/SHTI190238 |
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