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BMC Medical Informatics and Decision Making

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Open Access 01-12-2020 | Research article

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

Authors: Xuejie Yang, Xiaoyu Wang, Xingguo Li, Dongxiao Gu, Changyong Liang, Kang Li, Gongrang Zhang, Jinhong Zhong

Published in: BMC Medical Informatics and Decision Making | Issue 1/2020

Abstract

Background

At present, Internet of Things technology has been widely used in various fields, and smart health is also one of its important application areas.

Methods

We 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.

Results

The 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.

Conclusions

This study discusses the research status, research hotspots and future development trends in this field, and provides important knowledge support for subsequent research.

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Title: Exploring emerging IoT technologies in smart health research: a knowledge graph analysis
Authors: Xuejie Yang
Xiaoyu Wang
Xingguo Li
Dongxiao Gu
Changyong Liang
Kang Li
Gongrang Zhang
Jinhong Zhong
Publication date: 01-12-2020
Publisher: BioMed Central
Published in: BMC Medical Informatics and Decision Making / Issue 1/2020
Electronic ISSN: 1472-6947
DOI: https://doi.org/10.1186/s12911-020-01278-9

At a glance: The ONWARDS insulin icodec trials

Springer Medicine

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

Abstract

Background

Methods

Results

Conclusions

At a glance: The ONWARDS insulin icodec trials

Springer Medicine

Abstract

Background

Methods

Results

Conclusions

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