Prediction of Infant Mortality Rate in Bangladesh Using Artificial Neural Networks
Abstract
In this research article, the ANN approach was
applied to analyze infant mortality rate in Bangladesh. 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 really stable in
forecasting infant mortality rate in Algeria. The ANN (12, 12, 1) model
projections suggest that infant mortality in Bangladesh will decline from
approximately 26 deaths this year to nearly 24 deaths per 1000 live births by
2030. The government is encouraged to intensify maternal and child health
surveillance and control programs amongst other measures in order to curb
infant mortality in Bangladesh. This can be specifically done by embracing 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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