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A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

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

Xuejie Yang¹, Xiaoyu Wang², Xingguo Li¹

¹The School of Management, Hefei University of Technology, 193 Tunxi Road, Hefei, 230009, Anhui, China.

BMC Medical Informatics and Decision Making

|October 9, 2020

Summary

Smart health research using the Internet of Things (IoT) has rapidly grown since 2014. This analysis of 9,561 articles reveals an emerging knowledge base and identifies key research trends for future development.

Keywords:

Bibliometrics Disease Health Internet of things Visual analysis

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Area of Science:

Health Informatics
Computer Science

Background:

Internet of Things (IoT) technology is increasingly applied across various sectors, with smart health emerging as a significant application area.
Smart health leverages IoT to enhance healthcare delivery and patient outcomes.

Purpose of the Study:

To analyze the research landscape of smart health based on IoT.
To identify research status, hotspots, and future trends in IoT-enabled smart health.
To provide knowledge support for future research in this domain.

Main Methods:

Bibliometric analysis of 9,561 articles published between 2003-2019 from the Web of Science core collection.
Visual analysis using CiteSpace, including temporal and spatial distribution, co-citation, and keyword analysis.

Main Results:

The field of smart health research utilizing IoT has experienced rapid development since 2014.
A stable network of authors and institutions has not yet been established.
The foundational knowledge base is forming, characterized by multi-theme research publications.

Conclusions:

The study provides insights into the current state and evolution of smart health research driven by IoT.
Identified research hotspots and future trends offer guidance for researchers.
This analysis supports the strategic development of IoT in smart health applications.