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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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| Опубликовано в: : | J Am Med Inform Assoc |
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| Главные авторы: | , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Oxford University Press
2020
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| Предметы: | |
| Online-ссылка: | 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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