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

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

Abstract 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, g...

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Bibliographic Details
Main Authors: Shanta Chowdhury, Xishuang Dong, Lijun Qian, Xiangfang Li, Yi Guan, Jinfeng Yang, Qiubin Yu
Format: Article
Language:English
Published: BMC 2018-12-01
Series:BMC Bioinformatics
Subjects:
Recurrent neural network
Multitask learning
Word embedding
Parts-of-speech tagging
Named entity recognition
Electronic medical records
Online Access:http://link.springer.com/article/10.1186/s12859-018-2467-9

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http://link.springer.com/article/10.1186/s12859-018-2467-9

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