An ensemble of neural models for nested adverse drug events and medication extraction with subwords.
Objective: This article describes an ensembling system to automatically extract adverse drug events and drug related entities from clinical narratives, which was developed for the 2018 n2c2 Shared Task Track 2.Materials and Methods: We designed a neural model to tackle both nested (entities embedded...
| Publicado en: | Journal of the American Medical Informatics Association Vol. 27; no. 1; pp. 22 - 31 |
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| Autores principales: | , , , |
| Formato: | research Journal Article |
| Publicado: |
Oxford University Press / USA
Jan2020
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| Acceso en línea: | Ver este registro en EBSCOhost |