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DOI Prefix: 10.47001/IRJIET

Forecasting Infant Mortality Rate in Cameroon 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: 612-616

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 05-04-2021

doi Logo doi.org/10.47001/IRJIET/2021.503105

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Abstract
In this research article, the ANN approach was applied to analyze infant mortality rate in Cameroon. 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 infant mortality rate in Cameroon. The applied ANN (12, 12, 1) model predicted that IMR will be around 48/1000 live births per year. Therefore the government, in line the suggested policy directions; should strengthen and capacitate primary health care, increase coverage of immunizations for infants and children, and train health workers on essential newborn care in order to reduce infant mortality in the country.
Keywords

ANN, Forecasting, infant mortality rate.


Citation of this Article

Dr. Smartson. P. NYONI, Thabani NYONI, “Forecasting Infant Mortality Rate in Cameroon Using Artificial Neural Networks” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 5, Issue 3, pp 612-616, March 2021. Article DOI https://doi.org/10.47001/IRJIET/2021.503105

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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