A domain adaptive pre-training language model for sentence classification of Chinese electronic medical record-Reference-Cited by-同舟云学术

A domain adaptive pre-training language model for sentence classification of Chinese electronic medical record

Published:2023-12-05 Issue: Volume: Page:4776-4783
ISSN:
Container-title:2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
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Author:

Zou Yilin¹,Zhang Peng²,Ling Yunchao²,Lv Daqing³,Li Ziming⁴,Lu Shun⁵,Zhang Guoqing²

Affiliation:

1. University of Chinese Academy of Sciences,Key Laboratory of Systems Health Science of Zhejiang Province,School of Life Science Hangzhou Institute for Advanced Study,Hangzhou,China

2. Shanghai Institute of Nutrition and Health University of Chinese Academy of Sciences, Chinese Academy of Sciences,CAS Key Laboratory of Computational Biology,Bio-Med Big Data Center,Shanghai,China

3. Shanghai Southgene Technology Co., Ltd,Shanghai,China

4. Shanghai Chest Hospital,Shanghai,China

5. Shanghai Institute of Nutrition and Health University of Chinese Academy of Sciences, Chinese Academy of Sciences. Shanghai Sixth People’s Hospital,CAS Key Laboratory of Computational Biology,Bio-Med Big Data Center,Shanghai,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10385250/10385251/10386068.pdf?arnumber=10386068

Reference31 articles.

1. Medical Text Classification Using Hybrid Deep Learning Models with Multihead Attention

2. Traditional Chinese medicine clinical records classification with BERT and domain specific corpora

3. Biomedical named entity recognition using conditional random fields and rich feature sets

4. Automated Generation of Accurate & Fluent Medical X-ray Reports

5. Coreference Resolution for the Biomedical Domain: A Survey

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