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Adverse Drug Reaction Detection in Social Media by Deep Learning Methods
OBJECTIVE: Health-related studies have been recently at the heart attention of the media. Social media, such as Twitter, has become a valuable online tool to describe the early detection of various adverse drug reactions (ADRs). Different medications have adverse effects on various cells and tissues...
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| Publicado en: | Cell J |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Royan Institute
2020
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6947008/ https://ncbi.nlm.nih.gov/pubmed/31863657 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.22074/cellj.2020.6615 |
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