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26 April 2022
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31 May 2022
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31 May 2022
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Abstract

Healthcare issues are currently the most researched issues worldwide. Many healthcare researchers collaborate with non-healthcare researchers to improve the quality of healthcare. The knowledge graph is a widely used computer science and mathematics approach to solve healthcare issues. It can model the relationship between events to build new knowledge. Hence, a comprehensive study on knowledge graph modeling in healthcare was conducted in this study. The research methodologies in this study were: (1) article retrieval and general bibliometric analysis; (2) visualization of research distribution; and (3) research recommendations. In the last three years, 867 articles were retrieved from three databases. The citation metrics analysis was also conducted to determine the quality level of articles retrieval. An analysis was conducted using network and density visualization related to the relationship between research topics and trends. The final results in this paper are recommendations for research topics and research titles related to knowledge graph modeling in healthcare.

Keywords

Bibliometric analysis Knowledge graph Healthcare

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Copyright (c) 2022 Jurnal Komputer Terapan 

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Author Biographies

Muhammad Furqon, Universitas Jember

Informatics Department

Nina Najwa, Politeknik Caltex Riau

Information System Department

Deny Hermansyah, Universitas Hayam Wuruk Perbanas

Informatics Department

Mohammad Zarkasi, Universitas Jember

Information Technology Department
How to Cite
Furqon, M., Najwa, N., Hermansyah, D., & Zarkasi, M. (2022). Knowledge Graph Modeling in Healthcare: A Bibliometric Analysis. Jurnal Komputer Terapan, 8(1), 113–122. https://doi.org/10.35143/jkt.v8i1.5373
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