An Ontology-based Approach for Text Mining of Stroke Electronic Medical Records
文献类型:会议论文
作者 | Yang, Yujie; Cai, Yunpeng; Wenshu; Li, Zhifeng; Ma, Zhenghui; Yu, Xiaolu; Yu, Haibo |
出版日期 | 2013 |
会议名称 | 2013 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2013 |
会议地点 | Shanghai, China |
英文摘要 | In this paper, we propose a novel ontology-based approach for text mining of EMR information retrieval. The advantage of this approach is that it is capable of handling numerous variations in nature text which essentially refer to the same identity, as well as inferring implicit information from the plain text, which are both important in data mining of medical records. We applied the approach to text mining of EMR documents for stroke patients in a Chinese medical hospital. A benchmark study on an independent test set shows that the proposed pipeline can accurately extract the vast majority of useful information from the EMR documents, including the implicit ones through ontology inference. We also carry out a primary statistical analysis on a sample EMR set to illustrate the utilization of the approach on medical studies. |
收录类别 | EI |
语种 | 英语 |
源URL | [http://ir.siat.ac.cn:8080/handle/172644/4987] ![]() |
专题 | 深圳先进技术研究院_医工所 |
作者单位 | 2013 |
推荐引用方式 GB/T 7714 | Yang, Yujie,Cai, Yunpeng,Wenshu,et al. An Ontology-based Approach for Text Mining of Stroke Electronic Medical Records[C]. 见:2013 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2013. Shanghai, China. |
入库方式: OAI收割
来源:深圳先进技术研究院
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