International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

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DOI Prefix: 10.47001/IRJIET

Analyzing Under Five Mortality for Algeria Using a Machine Learning Technique

Dr. Smartson. P. NYONIZICHIRe Project, University of Zimbabwe, Harare, ZimbabweThabani NYONIIndependent Researcher & Health Economist, Harare, Zimbabwe

Vol 6 No 7 (2022): Volume 6, Issue 7, July 2022 | Pages: 86-89

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 18-08-2022

doi Logo doi.org/10.47001/IRJIET/2022.607016

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Abstract

This study uses annual time series data on under five mortality rate (U5MR) for Algeria from 1960 to 2020 to predict future trends of U5MR over the period 2021 to 2030. The residuals and forecast evaluation criteria of the applied ANN (12, 12, 1) model indicate that the model is stable in forecasting U5MR. The results of the study highlighted that U5MR will hover around 20 deaths per 1000 live births over the out of sample period. Hence, authorities in Algeria should prioritize maternal and child health programs by ensuring adequate staffing levels and medical supplies in healthcare facilities. 

Keywords

ANN, Forecasting, U5MR


Citation of this Article

Dr. Smartson. P. NYONI, Thabani NYONI, “Analyzing Under Five Mortality for Algeria Using a Machine Learning Technique” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 6, Issue 7, pp 86-89, July 2022. Article DOI https://doi.org/10.47001/IRJIET/2022.607016

Licence Copyright (c) 2026 International Research Journal of Innovations in Engineering and Technology creative common licence This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence
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