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DOI Prefix: 10.47001/IRJIET

Forecasting Infant Mortality in Oman Using Artificial Neural Networks

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: 701-705

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/2021.503123

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Abstract
In this research paper, the ANN approach was applied to analyze infant mortality rate (IMR) in Oman. The employed data annual covers the period 1963-2020 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 Oman. The applied ANN (12,12,1) model predictions indicated that IMR will be around 9/1000 live births per year in the out-of-sample period. Therefore the government is encouraged to allocate more resources towards primary health care in order to improve the quality of maternal and child healthcare services in the underprivileged communities.
Keywords

ANN, Forecasting, infant mortality rate.


Citation of this Article

Dr. Smartson. P. NYONI, Thabani NYONI, “Forecasting Infant Mortality in Oman Using Artificial Neural Networks” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 5, Issue 3, pp 701-705, March 2021. Article DOI https://doi.org/10.47001/IRJIET/2021.503123

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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