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Disease mentions in airport and hospital geolocations expose dominance of news events for disease concerns
BACKGROUND: In recent years, Twitter has been applied to monitor diseases through its facility to monitor users’ comments and concerns in real-time. The analysis of tweets for disease mentions should reflect not only user specific concerns but also disease outbreaks. This requires the use of standar...
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| 出版年: | J Biomed Semantics |
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| 主要な著者: | , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
BioMed Central
2018
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5996486/ https://ncbi.nlm.nih.gov/pubmed/29895320 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13326-018-0186-9 |
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