A study of deep learning approaches for medication and adverse drug event extraction from clinical text

OBJECTIVE: This article presents our approaches to extraction of medications and associated adverse drug events (ADEs) from clinical documents, which is the second track of the 2018 National NLP Clinical Challenges (n2c2) shared task. MATERIALS AND METHODS: The clinical corpus used in this study was...

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Dades bibliogràfiques
Publicat a:J Am Med Inform Assoc
Autors principals: Wei, Qiang, Ji, Zongcheng, Li, Zhiheng, Du, Jingcheng, Wang, Jingqi, Xu, Jun, Xiang, Yang, Tiryaki, Firat, Wu, Stephen, Zhang, Yaoyun, Tao, Cui, Xu, Hua
Format: Artigo
Idioma:Inglês
Publicat: Oxford University Press 2019
Matèries:
Research and Applications
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC6913210/
https://ncbi.nlm.nih.gov/pubmed/31135882
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jamia/ocz063
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