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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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Библиографические подробности
Опубликовано в: :J Am Med Inform Assoc
Главные авторы: Fan, Yadan, Zhou, Sicheng, Li, Yifan, Zhang, Rui
Формат: Artigo
Язык:Inglês
Опубликовано: Oxford University Press 2020
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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