| 生物医学突破性研究自动识别方法构建 |
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| 引用本文： | 王雪,杜建,杨雪梅,唐小利.生物医学突破性研究自动识别方法构建[J].中华医学图书情报杂志,2020,29(1):66-71. |
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| 作者姓名： | 王雪 杜建 杨雪梅 唐小利 |
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| 作者单位： | 中国医学科学院医学信息研究所，北京 100005,北京大学健康医疗大数据国家研究院，北京 100191,中国医学科学院医学信息研究所，北京 100005,中国医学科学院医学信息研究所，北京 100005 |
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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基金项目“医学科技创新评价与卫生服务体系构建研究”(2016-I2M-3-018)；国家社会科学基金项目“基于科学与技术交叉模型的创新前沿识别方法与应用研究” (18BTQ064)；NSTL“下一代开放知识服务平台总体设计及关键技术研发” |
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| 摘 要： | 突破性研究是科学发展进步的一种表现形式，对突破性研究的早期识别能够促进创新培育，增强源头创新能力，抢占科学创新制高点。提出了一种结合引用语句语言学特征和机器学习算法的生物医学突破性研究自动识别方法框架，构建了引用语句识别模型，未来可将引用语句识别模型运用于如学术评价、趋势发现和知识发现等特定领域。
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| 关 键 词： | 突破性研究 机器学习 自动识别 引用语句 |
| 收稿时间： | 2019/12/13 0:00:00 |
Establishment of automatic identification method for breakthrough research in biomedical sciences |
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| WANG Xue,DU Jian,YANG Xue-mei and TANG Xiao-li.Establishment of automatic identification method for breakthrough research in biomedical sciences[J].Chinese Journal of Medical Library and Information Science,2020,29(1):66-71. |
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| Authors: | WANG Xue DU Jian YANG Xue-mei and TANG Xiao-li |
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| Institution: | Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100005, China,National Institute of Health Data Science, Peking University, Beijing 100191, China,1.Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100005, China; 2.National Institute of Health Data Science, Peking University, Beijing 100191, China and 1.Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100005, China; 2.National Institute of Health Data Science, Peking University, Beijing 100191, China |
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| Abstract: | Breakthrough research is a new manifestation form of scientific development and progress. Its early identification can promote the innovative training, strengthen the initial innovation ability, and race to control the commanding point in scientific innovation. An automatic identification method for breakthrough research in biomedical sciences was proposed, which combines the linguistic characteristics of citation sentences with the machine learning algorithm. An identification model of citation sentence was established, which can be used in specific fields in the future, such as academic evaluation, trend discovery and knowledge discovery. |
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| Keywords: | Breakthrough research Machine learning Automatic identification Citation sentences |
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