Extracting important information from Chinese Operation Notes with natural language processing methods
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- 作者：Hui Wanga ; b ; c ; Weide Zhangd ; Qiang Zenge ; Zuofeng Lie ; Kaiyan Fengf ; Lei Liua ; b ; e ; liulei@fudan.edu.cn" class="auth_mail
- 关键词：Clinical operation notes ; Information extraction ; Chinese EMR ; Conditional random fields
- 刊名：Journal of Biomedical Informatics
- 出版年：April 2014
- 年：2014
- 卷：48
- 期：Complete
- 页码：130-136
- 全文大小：1027 K
文摘
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A novel information extraction strategy for Chinese free-text EMR is proposed.
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Both rule-base method and sequential labeling method (CRF) are explored.
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Totally, 12 important data elements related to hepatic carcinomas are extracted.
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Two boundary matching strategies (exact, overlapped) are introduced for evaluation.
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This work provides some insights for Chinese natural language processing.