Tracking Knowledge Evolution in Cloud Health Care Research: Knowledge Map and Common Word Analysis
Informatization
DOI:
10.2196/15142
Publication Date:
2020-02-25T10:45:16Z
AUTHORS (7)
ABSTRACT
Background With the continuous development of internet and explosive growth in data, big data technology has emerged. its ongoing application, cloud computing provides better storage analysis. The health care a more convenient effective solution for health. Studying evolution knowledge research hotspots field is increasingly important medical informatics. Scholars informatics community need to understand extent possible trends inform their future research. Objective Drawing on literature, this study aimed describe themes through map common word Methods A total 2878 articles about was retrieved from Web Science database. We used cybermetrics analyze visualize keywords these articles. created show co-word analysis identify Results services are described. In 2007-2009 (Phase I), most scholars mainly reduce costs, grid were primary technologies. 2010-2012 II), security systems became interest scholars. 2013-2015 III), informatization enabled services. 2016-2017 IV), machine learning mobile technologies introduced field. Conclusions Cloud been rapidly developing worldwide, simultaneously diverging becoming smarter. Cloud–based health, cloud–based smart three
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