| Issue |
E3S Web Conf.
Volume 568, 2024
International Conference on SDGs and Bibliometric Studies (ICoSBi 2024)
|
|
|---|---|---|
| Article Number | 03002 | |
| Number of page(s) | 8 | |
| Section | Life Sciences | |
| DOI | https://doi.org/10.1051/e3sconf/202456803002 | |
| Published online | 27 September 2024 | |
Trends and research on heart detection in using yolo algorithm to realize the 3rd SDG
1 Department of Electrical and Electronics Engineering, Universitas Negeri Yogyakarta, Yogyakarta, Indonesia
2 Department of Information Management, Universitas Negeri Surabaya, Surabaya, Indonesia
3 School of Computing, Engineering, and Built Environment, Glasgow Caledonian University, Scotland United Kingdom
* Corresponding author: arisnasuha@uny.ac.id
The purpose of this study is to assess the role, trends, and developments of the YOLO algorithm for healthy heart detection in advancing the 3rd SDGs. The research methodology used involved bibliometric analysis using VOSviewer and Biblioshiny tools. VOSviewer and Biblioshiny were used to examine the distribution of annual documents across countries, institutions, journals, authors, and interrelationships between keywords. The results show that Indonesia is in the 5th position of contributing countries among 10 countries/regions involved in the development of the YOLO algorithm for healthy heart detection. The data used in this research is sourced from the Scopus database in .csv format. In addition to data extraction from the Scopus database, this research also investigates the implementation of the YOLO algorithm for healthy heart detection using data from the Automated Cardiac Diagnosis Challenge (ACDC).
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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