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Filtering Entities to Optimize Identification of Adverse Drug Reaction From Social Media: How Can the Number of Words Between Entities in the Messages Help?
BACKGROUND: With the increasing popularity of Web 2.0 applications, social media has made it possible for individuals to post messages on adverse drug reactions. In such online conversations, patients discuss their symptoms, medical history, and diseases. These disorders may correspond to adverse dr...
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| Veröffentlicht in: | JMIR Public Health Surveill |
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| Hauptverfasser: | , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
JMIR Publications
2017
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5500778/ https://ncbi.nlm.nih.gov/pubmed/28642212 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2196/publichealth.6577 |
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