GWBNER: A named entity recognition method based on character glyph and word boundary features for Chinese EHRs

Electronic Health Records (EHRs) contain unprecedented volumes of data related to health such as diagnosis and treatment information. Based on the technologies of named entity recognition (NER), EHRs mining has become a research focus in health domain. Nevertheless, the complex medical entities are...

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Bibliographic Details
Main Authors:	Jinsong Zhang, Xiaomei Yu, Zhichao Wang, Xiangwei Zheng
Format:	Article
Language:	English
Published:	Elsevier 2023-09-01
Series:	Journal of King Saud University: Computer and Information Sciences
Subjects:	Named entity recognition Chinese electronic health records Medical information processing Medical text Natural language processing
Online Access:	http://www.sciencedirect.com/science/article/pii/S1319157823002082

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