Extracting entities with attributes in clinical text via joint deep learning

OBJECTIVE: Extracting clinical entities and their attributes is a fundamental task of natural language processing (NLP) in the medical domain. This task is typically recognized as 2 sequential subtasks in a pipeline, clinical entity or attribute recognition followed by entity-attribute relation extr...

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Detalhes bibliográficos
Publicado no:J Am Med Inform Assoc
Main Authors: Shi, Xue, Yi, Yingping, Xiong, Ying, Tang, Buzhou, Chen, Qingcai, Wang, Xiaolong, Ji, Zongcheng, Zhang, Yaoyun, Xu, Hua
Formato: Artigo
Idioma:Inglês
Publicado em: Oxford University Press 2019
Assuntos:
Research and Applications
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7647140/
https://ncbi.nlm.nih.gov/pubmed/31550346
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jamia/ocz158
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