Clinical Named Entity Recognition from Chinese Electronic Medical Records Based on Deep Learning Pretraining
Joint Authors
Zhang, Zhifei
Chen, Shiqi
Gong, Lejun
Source
Journal of Healthcare Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-11-24
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Background.
Clinical named entity recognition is the basic task of mining electronic medical records text, which are with some challenges containing the language features of Chinese electronic medical records text with many compound entities, serious missing sentence components, and unclear entity boundary.
Moreover, the corpus of Chinese electronic medical records is difficult to obtain.
Methods.
Aiming at these characteristics of Chinese electronic medical records, this study proposed a Chinese clinical entity recognition model based on deep learning pretraining.
The model used word embedding from domain corpus and fine-tuning of entity recognition model pretrained by relevant corpus.
Then BiLSTM and Transformer are, respectively, used as feature extractors to identify four types of clinical entities including diseases, symptoms, drugs, and operations from the text of Chinese electronic medical records.
Results.
75.06% Macro-P, 76.40% Macro-R, and 75.72% Macro-F1 aiming at test dataset could be achieved.
These experiments show that the Chinese clinical entity recognition model based on deep learning pretraining can effectively improve the recognition effect.
Conclusions.
These experiments show that the proposed Chinese clinical entity recognition model based on deep learning pretraining can effectively improve the recognition performance.
American Psychological Association (APA)
Gong, Lejun& Zhang, Zhifei& Chen, Shiqi. 2020. Clinical Named Entity Recognition from Chinese Electronic Medical Records Based on Deep Learning Pretraining. Journal of Healthcare Engineering،Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1186481
Modern Language Association (MLA)
Gong, Lejun…[et al.]. Clinical Named Entity Recognition from Chinese Electronic Medical Records Based on Deep Learning Pretraining. Journal of Healthcare Engineering No. 2020 (2020), pp.1-8.
https://search.emarefa.net/detail/BIM-1186481
American Medical Association (AMA)
Gong, Lejun& Zhang, Zhifei& Chen, Shiqi. Clinical Named Entity Recognition from Chinese Electronic Medical Records Based on Deep Learning Pretraining. Journal of Healthcare Engineering. 2020. Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1186481
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1186481