摘要
结合IMIA(International Medical Informatics Association)年鉴的定性数据和分别取自Web of Science和CNKI的国际、国内定量数据,用LDA主题模型识别研究的主题,在识别论文主题模型基础上采用3种聚类算法对研究进行聚类分析。研究发现,2000—2018年医学信息学分化出生物信息学和健康信息学两大分支,分别形成医学信息学的“硬”走向和“软”走向。在揭示两类走向分别标志医学信息学的技术性和应用性发展的同时,建议对医学信息学的健康信息学转向给予关注,并强化国家政策设计。
This study uses the LDA thematic model at home and abroad,combined with the qualitative data of the International Medical Informatics Association(IMIA)Yearbook and quantitative data of the Web of Science and CNKI,to identify a research topic;subsequently,three clustering algorithms are employed to cluster this research,based on identification of the papers topic model.The results show that,from 2000 to 2018,medical informatics was divided into two branches—bioinformatics and health informatics—which formed the“hard”and“soft”trends of medical informatics,respectively.The findings suggest that the health informatics side of medical informatics should receive attention,and the design of national policy should be strengthened.
作者
徐璐璐
杜建
叶鹰
Xu Lulu;Du Jian;Ye Ying(Jiangsu Key Laboratory of Data Engineering&Knowledge Service,School of Information Management,Nanjing University,Nanjing 210023;Nantong University Library,Nantong 226019;National Institute of Health Data Science,Peking University,Beijing 100191)
出处
《情报学报》
CSSCI
CSCD
北大核心
2020年第7期777-786,共10页
Journal of the China Society for Scientific and Technical Information
