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

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

Abstract 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 medi...

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Bibliographic Details
Main Authors: Luqi Li, Jie Zhao, Li Hou, Yunkai Zhai, Jinming Shi, Fangfang Cui
Format: Article
Language:English
Published: BMC 2019-12-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Named entity recognition
Attention mechanism
Chinese electronic medical records
Online Access:https://doi.org/10.1186/s12911-019-0933-6

Internet

https://doi.org/10.1186/s12911-019-0933-6

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