基于Web of Science的Meta分析在医学信息学领域中的应用

Application of Web of Science-based meta-analysis in medical informatics

目的:探讨Meta分析在医学信息学领域的研究前沿,并对其跨学科属性进行分析,为科研人员提供借鉴和参考。方法:以Web of Science核心合集中医学信息学领域发表的Meta分析相关文献为研究对象分析学科领域分布,利用Netdraw建立学科共现网络探讨跨学科属性。对高频被引论文进行双向聚类分析,分析当前该领域的研究前沿。结果:近5年医学信息领域中Meta分析研究涉及最多的学科有卫生保健科学与服务、数学与计算生物学等,研究前沿主要集中在网状Meta分析的方法学研究、诊断性试验Meta分析方法、基于互联网和医疗信息技术干预模式对疾病或健康结局影响的系统评价和Meta分析、Meta分析的统计学方法及统计模型构建与模拟等5个方面。结论:医学信息学领域Meta分析研究的跨学科属性和5个研究前沿,为后续研究指明了方向。

Objective To study the application of meta-analysis in analysis of frontiers in research on medical informatics and attributes of cross-subjects in medical informatics in order to provide reference and experiences for those engaged in scientific research.Methods The distribution of subjects in medical informatics was analyzed with Web of Science core set-covered papers on medical informatics in relation with meta-analysis as the study object,and a co-occurrence network of subjects was developed using Netdraw to study the attributes of cross-subjects in medical informatics.The highly-cited papers were analyzed by Biclustering analysis to determine the frontiers in recent researches on medical informatics.Results The most involved subjects of medical informatics in the past 5-year meta-analysis were health care sciences and service,and mathematical and computational biology while the frontier in researches on medical informatics were centralized on methodology of network meta-analysis,meta-analysis methods of diagnostic test accuracy,systematic assessment and meta-analysis of the effect of Internet-based or healthcare information technology intervention-based models on healthcare outcomes,statistical methods used in meta-analysis,establishment and simulation of meta-analysis statistical model.Conclusion The attributes of cross-subjects in medical informatics and the 5 frontiers in researches on medical informatics show clearly the interests in future studies on medical informatics.