基于数据清洗“DEAN”流程的健康信息领域研究热点探测

Research Hotspot Detection of Health Information Based on the “DEAN” Process of Data Clean

[目的/意义]了解我国健康信息领域研究热点,提升研究热点识别的准确性。[方法/过程]论文首先构建了数据清洗"DEAN"流程,在此基础上以CNKI和万方数据库收录的2004-2017年健康信息领域文献数据为研究对象,运用CitespaceⅤ软件对健康信息领域的研究热点进行识别。[结果 /结论]研究共探测出我国健康信息领域六大研究热点,并对是否运用"DEAN"流程识别出的研究热点结果进行对比分析,发现运用"DEAN"流程能够提升研究热点识别的准确性。

[Purpose/Significance]The purpose of this paper was to understand the research hotspots of the health information researches.[Method/Process]The Data cleaning process named“DEAN”was constructed firstly,and published articles on health information during 2004-2017,which were recorded in the database of CNKI and WanFang,were chosen to be analyzed in this paper.[Result/Conclusion]By applying the software of CitesapceⅤ,the paper found Six research hotspots on the areas of health information.Meanwhile the paper compared the results of two cases that applied“DEAN”process or not,and found“DEAN”process could improve the accuracy of research hotspot identification.