
Categorisation of African Countries: Cluster Analysis of Maternal Mortality based on Health Expenditure Trends (2000-2023)- A Machine Learning Approach to SDG 3.1 Prioritisation
Issue: Vol.6 No.14 Article 39 pp.3922 – 3932
DOI: https://doi.org/10.38159/ehass.202561439 | Published online 30th December, 2025
© 2025 The Author(s). This is an open access article under the CCBY license (http://creativecommons.org/licenses/by/4.0/).
Keywords: Health Expenditure, Africa, Maternal Mortality Ratio (MMR), Sustainable Development Goal (SDG), Clustering.
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Pinky Lalthapersad-Pillay is a Professor of Economics at the University of South Africa, South Africa. Her research focuses on development economics and gender issues.
Peter Ohue is a PhD student at the University of Ibadan. His research interest is statistics.
Lalthapersad-Pillay, Pinky, and Peter Ohue. “Categorisation of African Countries: Cluster Analysis of Maternal Mortality based on Health Expenditure Trends (2000-2023)- A Machine Learning Approach to SDG 3.1 Prioritisation33.” E-Journal of Humanities, Arts and Social Sciences 6, no. 14 (2025): 3922 -3932, https://doi.org/10.38159/ehass.202561439
© 2025 The Author(s). Published and Maintained by Noyam Journals. This is an open access article under the CCBY license (http://creativecommons.org/licenses/by/4.0/).









