| 基于著者共现的CBM机构名称规范研究 |
| 投稿时间：2019-09-27 点此下载全文 |
| 引用本文：吴英杰,李军莲,孙海霞,等.基于著者共现的CBM机构名称规范研究[J].医学信息学杂志,2019,40(12):48-53 |
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| 基金项目:中国医学科学院医学与健康科技创新工程项目"生物医学科技信息支撑平台"（项目编号：2016-I2M-2-005）；中国医学科学院医学信息研究所基本科研业务专项"基于共现分析的著者机构名称规范机制研究"（项目编号：2016RC33006）。 |
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| 中文摘要:以中国生物医学文献数据库收录的期刊论文为数据源，从发文著者这个重要关联因素着手，开展基于共现分析的著者机构名称规范机制研究，提出基于著者共现的同一机构发现算法，经评测该算法推荐结果准确率达85%，具有较好的可参考性。 |
| 中文关键词:机构规范 共现分析 中国生物医学文献数据库 著者共现 |
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| Study on CBM Affiliation Name Normalization Based on Co-occurrence of Authors |
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| Abstract:Taking journal articles included in Chinese Biomedical Database (CBM) as the data source, the paper begins with the important associated factor of publication author to implement the normalization mechanism study on affiliation name of authors based on co-occurrence analysis, and puts forward the algorithm of the same institution discovery on the basis of author co-occurrence. Recommended results of the algorithm is up to 85% by evaluation and measurement, which has better reference value. |
| keywords:affiliation name normalization co-occurrence analysis China Biology Medicine disc(CBM) author co-occurrence |
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