Tracking the Future Path of Under Five Mortality Rate for Morocco Using a Machine Learning Algorithm
Abstract
This study uses annual time series data on under
five mortality rate (U5MR) for Morocco 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 revealed that U5MR
will continue to decline throughout the out of sample period. Therefore, the
Moroccan government must address all the major challenges that hinder the
success of the maternal and child health (MNCH) program.
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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