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Deep learning approaches for extracting adverse events and indications of dietary supplements from clinical text
OBJECTIVE: We sought to demonstrate the feasibility of utilizing deep learning models to extract safety signals related to the use of dietary supplements (DSs) in clinical text. MATERIALS AND METHODS: Two tasks were performed in this study. For the named entity recognition (NER) task, Bi-LSTM-CRF (b...
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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
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7936508/ https://ncbi.nlm.nih.gov/pubmed/33150942 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jamia/ocaa218 |
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