Analyzing Under Five Mortality Rate for Togo Using a Machine Learning Technique
Abstract
This study uses annual time series data on under
five mortality rate (U5MR) for Togo 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 under five mortality rate. ANN model projections suggest thatU5MR
will remain high throughout the out of sample period. Hence, authorities in
Togo must address all the major challenges that hinder the successful
implementation of the third sustainable development goal (SDG3).
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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