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DOI Prefix: 10.47001/IRJIET

Forecasting Infant Mortality Rate in Egypt Using a Machine Learning Technique

Dr. Smartson. P. NYONIZICHIRe Project, University of Zimbabwe, Harare, ZimbabweThabani NYONIDepartment of Economics, University of Zimbabwe, Harare, Zimbabwe

Vol 5 No 3 (2021): Volume 5, Issue 3, March 2021 | Pages: 686-690

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 07-04-2021

doi Logo doi.org/10.47001/IRJIET/2021.503120

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Abstract

In this research paper, the ANN approach was applied to analyze infant mortality rate (IMR) in Egypt. The employed annual data covers the period 1960-2020 and the out-of-sample period ranges over the period 2021-2030. The residuals and forecast evaluation criteria (Error, MSE and MAE) of the applied model indicate that the model is stable in forecasting IMR in Egypt. The applied ANN (12,12, 1) model predicted that IMR will be around 17/1000 live births per year in the out-of-sample period. Therefore the government in line with our policy suggestions, is encouraged to allocate more resources for primary healthcare in order to provide quality maternal and neonatal care especially in rural areas.

Keywords

ANN, Forecasting, infant mortality.


Citation of this Article

Dr. Smartson. P. NYONI, Thabani NYONI, “Forecasting Infant Mortality Rate in Egypt Using a Machine Learning Technique” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 5, Issue 3, pp 686-690, March 2021. Article DOI https://doi.org/10.47001/IRJIET/2021.503120

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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