Exploring emerging IoT technologies in smart health research: a knowledge graph analysis

BMC Medical Informatics and Decision Making

Xiaoyu Wang¹  Changyong Liang²  Xingguo Li²  Kang Li²  Jinhong Zhong²  Gongrang Zhang²  Xuejie Yang²  Dongxiao Gu³ 

[1] The 1st Affiliated Hospital, Anhui University of Traditional Chinese Medicine, 117 Meishan Road, 230031, Hefei, Anhui, China;The School of Management, Hefei University of Technology, 193 Tunxi Road, 230009, Hefei, Anhui, China;The School of Management, Hefei University of Technology, 193 Tunxi Road, 230009, Hefei, Anhui, China;Key Laboratory of Process Optimization and Intelligent Decision-making of Ministry of Education, 230009, Hefei, Anhui, China;

关键词: Internet of things;    Disease;    Health;    Bibliometrics;    Visual analysis;   

DOI  :  10.1186/s12911-020-01278-9

来源: Springer

【 摘 要 】

BackgroundAt present, Internet of Things technology has been widely used in various fields, and smart health is also one of its important application areas.MethodsWe use the core collection of Web of Science as a data source, using tools such as CiteSpace and bibliometric methods to visually analyze 9561 articles published in the field of smart health research based on the Internet of things (IoT) in 2003–2019, including time distribution, spatial distribution, and literature co-citation analysis and keyword analysis.ResultsThe field of smart health research based on IoT has developed rapidly since 2014, but has not yet formed a stable network of authors and institutions. In addition, the knowledge base in this field has been initially formed, and most of the published literatures are multi-theme research.ConclusionsThis study discusses the research status, research hotspots and future development trends in this field, and provides important knowledge support for subsequent research.

【 授权许可】

CC BY