Trends and research on heart detection in using yolo algorithm to realize the 3rd SDG

\nThe 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).\n

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2024-09-27
DOI
https://doi.org/10.1051/e3sconf/202456803002/pdf
Primary Topic
Urban and spatial planning
Type
article
Field-Weighted Citation Impact
0.00

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article

Trends and research on heart detection in using yolo algorithm to realize the 3rd SDG

Springer Link (Chiba Institute of Technology)
Urban and spatial planning
article

Trends and research on heart detection in using yolo algorithm to realize the 3rd SDG

article en

Abstract

\nThe 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).\n

Springer Link (Chiba Institute of Technology)
Universitas Negeri Yogyakarta
Partnerships for the goals
Openalex Percentile: Top 60%
Urban and spatial planning
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