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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...
Guardado en:
| Publicado en: | BMC Med Inform Decis Mak |
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| Autores principales: | , , , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
BioMed Central
2019
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6894110/ https://ncbi.nlm.nih.gov/pubmed/31801540 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12911-019-0933-6 |
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