Attention-based deep residual learning network for entity relation extraction in Chinese EMRs

BACKGROUND: Electronic medical records (EMRs) contain a variety of valuable medical concepts and relations. The ability to recognize relations between medical concepts described in EMRs enables the automatic processing of clinical texts, resulting in an improved quality of health-related data analys...

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Detalles Bibliográficos
Autores principales: Zhang, Zhichang, Zhou, Tong, Zhang, Yu, Pang, Yali
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6454667/
https://www.ncbi.nlm.nih.gov/pubmed/30961580
http://dx.doi.org/10.1186/s12911-019-0769-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6454667/
https://www.ncbi.nlm.nih.gov/pubmed/30961580
http://dx.doi.org/10.1186/s12911-019-0769-0

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