This paper is in the following e-collection/theme issue:

Electronic Health Records (1304) Artificial Intelligence (2091) Breast Cancer (288) Clinical Informatics (1309)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/76912, first published .
Named Entity Recognition for Chinese Cancer Electronic Health Records—Development and Evaluation of a Domain-Specific BERT Model: Quantitative Study

Named Entity Recognition for Chinese Cancer Electronic Health Records—Development and Evaluation of a Domain-Specific BERT Model: Quantitative Study

Named Entity Recognition for Chinese Cancer Electronic Health Records—Development and Evaluation of a Domain-Specific BERT Model: Quantitative Study

Authors of this article:

Junbai Chen1, 2 Author Orcid Image ;   Butian Zhao1 Author Orcid Image ;   Xiaohan Tian1 Author Orcid Image ;   Zhengkai Zou1 Author Orcid Image ;   Ruojia Wang1 Author Orcid Image ;   Jiarui Wu1 Author Orcid Image ;   Songxing Du3 Author Orcid Image ;   Fengying Guo1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Junbai Chen   1, 2 , MA ;   Butian Zhao   1 , PhD ;   Xiaohan Tian   1 , BA ;   Zhengkai Zou   1 , BA ;   Ruojia Wang   1 , PhD ;   Jiarui Wu   1 , PhD ;   Songxing Du   3 , BA ;   Fengying Guo   1 , MS

1 School of Management, Beijing University of Chinese Medicine, Beijing, China

2 Department of Information Management, Peking University, Beijing, China

3 Information Center, Dongfang Hospital, Beijing, China

Corresponding Author:

  • Fengying Guo, MS
  • School of Management
  • Beijing University of Chinese Medicine
  • No. 11, North Third Ring Road East, Chaoyang District
  • Beijing 100029
  • China
  • Phone: 86 13811833948
  • Email: guofy@bucm.edu.cn