An attention-based deep learning model for clinical named entity recognition of Chinese electronic medical records

BACKGROUND: Clinical named entity recognition (CNER) is important for medical information mining and establishment of high-quality knowledge map. Due to the different text features from natural language and a large number of professional and uncommon clinical terms in Chinese electronic medical reco...

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Detalles Bibliográficos
Autores principales: Li, Luqi, Zhao, Jie, Hou, Li, Zhai, Yunkai, Shi, Jinming, Cui, Fangfang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6894110/
https://www.ncbi.nlm.nih.gov/pubmed/31801540
http://dx.doi.org/10.1186/s12911-019-0933-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6894110/
https://www.ncbi.nlm.nih.gov/pubmed/31801540
http://dx.doi.org/10.1186/s12911-019-0933-6

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