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 (bi...
| Publicado en: | Journal of the American Medical Informatics Association Vol. 28; no. 3; pp. 569 - 578 |
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| Autores principales: | , , , |
| Formato: | Journal Article |
| Publicado: |
Oxford University Press / USA
Mar2021
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| Acceso en línea: | Ver este registro en EBSCOhost |