引用本文:崔春舜,高东平.基于高频关键词共现聚类的远程医疗研究热点分析[J].中华医学图书情报杂志,2017,26(12):46-51.
基于高频关键词共现聚类的远程医疗研究热点分析
High frequency key words co-occurrence cluster-based analysis of hotspots in studies of telemedicine
DOI:10.3969/j.issn.1671-3982.2017.12.009
中文关键词:  远程医疗  研究热点  聚类分析
英文关键词:Telemedicine  Research hotspots  Cluster analysis
基金项目:中国医学科学院医学与健康科技创新工程经费资助(2016-I2M-2-004)
作者单位
崔春舜 北京协和医学院/中国医学科学院医学信息研究所北京100020 
高东平 北京协和医学院/中国医学科学院医学信息研究所北京100021 
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中文摘要:
      目的:用可视化方法呈现远程医疗研究热点,为远程医疗研究人员了解其现况提供参考。方法:利用书目共现分析方法结合双聚类软件gcluto,对WOS数据库中远程医疗领域近十年的论文进行聚类分析。结果:当前远程医疗研究热点集中于系统建设、评价分析以及数据传输等方面。结论:远程医疗作为促进医疗资源合理分配的重要医疗服务方式,需要研究人员不断探索与新技术的融合,改善医疗服务质量,促进医疗服务平等化。
英文摘要:
      Objective To provide the reference for researchers to understand the current situation in telemedicine by studying its hotspots with visual representation. Methods The cluster of Web of Science (WOS)-covered papers on telemedicine in the past 10 years was analyzed by bibliographic co-occurrence analysis combined with the dual cluster software gcluto. Results The hotspots in studies of telemedicine at present were centralized on system construction, evaluation analysis and data output. Conclusion Telemedicine, an important means for the rational allocation of medical resources, needs its researchers to integrate their study and new technologies, improve their medical service level and promote the equality of medical service.
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