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Extracting Drug-Drug Interactions with Word and Character-Level Recurrent Neural Networks
Drug-drug interactions (DDIs) are known to be responsible for nearly a third of all adverse drug reactions. Hence several current efforts focus on extracting signal from EMRs to prioritize DDIs that need further exploration. To this end, being able to extract explicit mentions of DDIs in free text n...
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| Publicat a: | Proc (IEEE Int Conf Healthc Inform) |
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| Autors principals: | , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2017
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5639883/ https://ncbi.nlm.nih.gov/pubmed/29034375 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/ICHI.2017.15 |
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