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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Qiang Zeng Xiaoyan Zhang Weide Zhang Zuofeng Li Lei Liu |
| Copyright Year | 2010 |
| Description | Author affiliation: Shanghai Centre for Bioinformation Technology, China (Weide Zhang; Zuofeng Li) || School of Life Science and Technology, Tongji University, Shanghai, China (Qiang Zeng; Xiaoyan Zhang) || Department of Hepatic Tumor, Zhongshan Hospital Fudan University Shanghai, China (Lei Liu) |
| Abstract | Many of surgical records containing the clinical information are in electronic forms, but a lot of them are still in free-text format in China. In this paper, we have an attempt to extract information with the Nature Language Processing (NLP) approach. The procedure of NLP is made up of three steps. First, given 36 free-text of operation notes, a physician manually annotates the information which he is interested in. Second, we extract the features of the annotated information. Third, several logistic regression models are built. Totally, 14 clinical data are extracted. The NLP tool was tested 364 operation notes. The accuracy of extraction is between 67.3%–96.7%. Our results indicate that the performance of the features we used to build the machine learning is good in extracting useful information from free-text Chinese operation notes for liver cancer. In the future, these features would explored on more broader clinical settings. |
| Starting Page | 593 |
| Ending Page | 597 |
| File Size | 641001 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424483037 |
| e-ISBN | 9781424483044 |
| DOI | 10.1109/BIBMW.2010.5703867 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-12-18 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Solid modeling Hospitals Surgery Chinese Nature Language Processing (NLP) Electronic Medical Record (EMR) Feature extraction Nature Language Processing (NLP) Data mining Tumors Cancer |
| Content Type | Text |
| Resource Type | Article |
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