Proceedings of the International Conference on Innovation & Entrepreneurship in Computing, Engineering & Science Education (InvENT 2024)

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A Bibliometric Analysis of Artificial Intelligence Research in Public Health Education

Authors
Dina Nur Anggraini Ningrum1, *, Muhammad Solihuddin Muhtar2
1Public Health Department, Universitas Negeri Semarang, Semarang City, Indonesia
2International Ph. D Program in Biotech and Healthcare Management, Taipei Medical University, Taipei City, Taiwan
*Corresponding author. Email: dinanan@mail.unnes.ac.id
Corresponding Author
Dina Nur Anggraini Ningrum
Available Online 1 December 2024.
DOI
10.2991/978-94-6463-589-8_27How to use a DOI?
Keywords
Algorithms; preventive medicine; health education; knowledge discovery
Abstract

The study explores the burgeoning field of “AI in public health education” using data from the Scopus database spanning 2013 to 2023. Through a comprehensive bibliometric analysis, we examined 3404 documents across 1149 sources, identifying key trends, subject areas, and leading institutions. Our methods included analyzing publication growth rates, citation metrics, keyword frequencies, and collaboration patterns. Results revealed an impressive annual growth rate of 95.97%, a high degree of international collaboration, and significant contributions from top-tier global institutions, particularly in medicine, computer science, and engineering. We identified emerging research topics such as federated learning, blockchain, and disease outbreak management as areas with substantial future research potential. Our conclusion underscores the rapid development and interdisciplinary nature of this field, highlighting the importance of fostering collaboration, securing targeted funding, and integrating emerging topics into public health education to effectively address global health challenges through advanced AI methodologies.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Innovation & Entrepreneurship in Computing, Engineering & Science Education (InvENT 2024)
Series
Advances in Computer Science Research
Publication Date
1 December 2024
ISBN
978-94-6463-589-8
ISSN
2352-538X
DOI
10.2991/978-94-6463-589-8_27How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Dina Nur Anggraini Ningrum
AU  - Muhammad Solihuddin Muhtar
PY  - 2024
DA  - 2024/12/01
TI  - A Bibliometric Analysis of Artificial Intelligence Research in Public Health Education
BT  - Proceedings of the International Conference on Innovation & Entrepreneurship in Computing, Engineering & Science Education (InvENT 2024)
PB  - Atlantis Press
SP  - 298
EP  - 307
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-589-8_27
DO  - 10.2991/978-94-6463-589-8_27
ID  - Ningrum2024
ER  -