Forecasting Infant Mortality Rate in Algeria Using Artificial Neural Networks
Abstract
In this research article, the ANN approach was
applied to analyze infant mortality rate in Algeria. 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 Algeria. The ANN (12, 12, 1) model projections suggest that
infant mortality will be around 21 infant deaths per 1000 live births per annum
over the next 10 years in Algeria. The government is encouraged to intensify
maternal and child health surveillance and control programs amongst other
measures in order to curb infant mortality in Algeria. This can be specifically
done by adopting the suggested 7-fold policy recommendations.
Country : Zimbabwe
1 Dr. Smartson. P. NYONI2 Thabani NYONI
ZICHIRe Project, University of Zimbabwe, Harare, Zimbabwe
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