Prediction of Infant Mortality Rate in Indonesia Using a Machine Learning Algorithm
Abstract
In this research article, the ANN approach was applied to analyze infant
mortality rate in Indonesia. 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
Indonesia. The ANN (12, 12, 1) model projections suggest that infant mortality
will decline over the out-of-sample period. The government is encouraged to
intensify maternal and child health surveillance and control programs amongst
other measures in order to curb infant mortality in Indonesia. This could be
specifically done by adopting the suggested 7-fold policy recommendations.
Country : Zimbabwe
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