Tracking Future Trends of Under Five Mortality Rate for Singapore Using an Artificial Intelligence Technique
Abstract
This study uses annual time series data on under
five mortality rate for Singapore from 1960 to 2020 to predict future trends of
U5MR over the period 2021 to 2030. Residuals and forecast evaluation criteria
indicate that the applied ANN (12, 12, 1) model is stable in forecasting U5MR.
ANN model predictions revealed that annual U5MR will remain around 3 deaths per
1000 live births throughout the out of sample period. Therefore, we implore
health authorities in Singapore to continue supporting maternal and child
health program activities to keep under five mortality under control.
Country : Zimbabwe
1 Dr. Smartson. P. NYONI2 Thabani NYONI
ZICHIRe Project, University of Zimbabwe, Harare, Zimbabwe
Independent Researcher & Health Economist, Harare, Zimbabwe
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