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Identifying relations of medications with adverse drug events using recurrent convolutional neural networks and gradient boosting
OBJECTIVE: To develop a natural language processing system that identifies relations of medications with adverse drug events from clinical narratives. This project is part of the 2018 n2c2 challenge. MATERIALS AND METHODS: We developed a novel clinical named entity recognition method based on an rec...
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| Publicado no: | J Am Med Inform Assoc |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7489076/ https://ncbi.nlm.nih.gov/pubmed/31504605 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jamia/ocz144 |
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