A multitask bi-directional RNN model for named entity recognition on Chinese electronic medical records

BACKGROUND: Electronic Medical Record (EMR) comprises patients’ medical information gathered by medical stuff for providing better health care. Named Entity Recognition (NER) is a sub-field of information extraction aimed at identifying specific entity terms such as disease, test, symptom, genes etc...

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Detalles Bibliográficos
Autores principales: Chowdhury, Shanta, Dong, Xishuang, Qian, Lijun, Li, Xiangfang, Guan, Yi, Yang, Jinfeng, Yu, Qiubin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6309059/
https://www.ncbi.nlm.nih.gov/pubmed/30591015
http://dx.doi.org/10.1186/s12859-018-2467-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6309059/
https://www.ncbi.nlm.nih.gov/pubmed/30591015
http://dx.doi.org/10.1186/s12859-018-2467-9

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