基于共词聚类的消费者健康信息研究热点分析  

Hot Spots Analysis for Consumer Health Information Research Based on Co-word Clustering

作　　者：杜志银[1] 贺向前[1] 

机构地区：[1]重庆医科大学医学信息学院,重庆400016

出　　处：《医学信息学杂志》2015年第1期48-52,66,共6页Journal of Medical Informatics

摘　　要：应用共词聚类方法对从PubMed数据库中下载的相关文献主题词进行聚类,提取高频主题词并生成共现矩阵,依据黏合力计算公式确定各类的中心词,探索消费者健康信息研究热点,包括不同年龄段信息素养调查、消费者网络健康信息、健康促进等方面。The paper carries out co-word clustering analysis on the subject headings of relevant papers downloaded from PubMed database,extracts high frequency subject headings and generate co- occurrence matrix,according to the bonding strength calculating formula,the center word for each category is determined,so as to explore the hot spots of consumer health information,including information literacy investigation for various ages,consumer network health information,health promotion,etc.

关 键 词：消费者健康信息 共词聚类分析 热点 

分 类 号：TP391.1[自动化与计算机技术—计算机应用技术]