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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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Podrobná bibliografie
Vydáno v:J Am Med Inform Assoc
Hlavní autoři: Wei, Qiang, Ji, Zongcheng, Li, Zhiheng, Du, Jingcheng, Wang, Jingqi, Xu, Jun, Xiang, Yang, Tiryaki, Firat, Wu, Stephen, Zhang, Yaoyun, Tao, Cui, Xu, Hua
Médium: Artigo
Jazyk:Inglês
Vydáno: Oxford University Press 2019
Témata:
On-line přístup: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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