A Novel Approach towards Medical Entity Recognition in Chinese Clinical Text
Joint Authors
He, Xiaojun
Liang, Jun
Xian, Xuemei
Xu, Meifang
Dai, Sheng
Xin, Jun’yi
Xu, Jie
Yu, Jian
Lei, Jianbo
Source
Journal of Healthcare Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-07-05
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
Medical entity recognition, a basic task in the language processing of clinical data, has been extensively studied in analyzing admission notes in alphabetic languages such as English.
However, much less work has been done on nonstructural texts that are written in Chinese, or in the setting of differentiation of Chinese drug names between traditional Chinese medicine and Western medicine.
Here, we propose a novel cascade-type Chinese medication entity recognition approach that aims at integrating the sentence category classifier from a support vector machine and the conditional random field-based medication entity recognition.
We hypothesized that this approach could avoid the side effects of abundant negative samples and improve the performance of the named entity recognition from admission notes written in Chinese.
Therefore, we applied this approach to a test set of 324 Chinese-written admission notes with manual annotation by medical experts.
Our data demonstrated that this approach had a score of 94.2% in precision, 92.8% in recall, and 93.5% in F-measure for the recognition of traditional Chinese medicine drug names and 91.2% in precision, 92.6% in recall, and 91.7% F-measure for the recognition of Western medicine drug names.
The differences in F-measure were significant compared with those in the baseline systems.
American Psychological Association (APA)
Liang, Jun& Dai, Sheng& Xin, Jun’yi& Xu, Jie& Yu, Jian& Lei, Jianbo…[et al.]. 2017. A Novel Approach towards Medical Entity Recognition in Chinese Clinical Text. Journal of Healthcare Engineering،Vol. 2017, no. 2017, pp.1-16.
https://search.emarefa.net/detail/BIM-1181009
Modern Language Association (MLA)
Dai, Sheng…[et al.]. A Novel Approach towards Medical Entity Recognition in Chinese Clinical Text. Journal of Healthcare Engineering No. 2017 (2017), pp.1-16.
https://search.emarefa.net/detail/BIM-1181009
American Medical Association (AMA)
Liang, Jun& Dai, Sheng& Xin, Jun’yi& Xu, Jie& Yu, Jian& Lei, Jianbo…[et al.]. A Novel Approach towards Medical Entity Recognition in Chinese Clinical Text. Journal of Healthcare Engineering. 2017. Vol. 2017, no. 2017, pp.1-16.
https://search.emarefa.net/detail/BIM-1181009
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1181009