Projecting Under Five Mortality Rate for Mauritania Using an Artificial Intelligence Technique

Dr. Smartson. P. NYONIZICHIRe Project, University of Zimbabwe, Harare, ZimbabweThabani NYONIIndependent Researcher & Health Economist, Harare, Zimbabwe

Vol 6 No 7 (2022): Volume 6, Issue 7, July 2022 | Pages: 370-373

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 18-08-2022

doi Logo doi.org/10.47001/IRJIET/2022.607079

Abstract
This study uses annual time series data on under five mortality rate (U5MR) for Mauritania from 1960 to 2020 to predict future trends of U5MR over the period 2021 to 2030. Residuals and model evaluation statistics indicate that the applied ANN (12, 12, 1) is stable in forecasting under five mortality rate. ANN model projections revealed that U5MR will remain high throughout the out of sample period. Therefore, we encourage the government of Mauritania to address all the factors that significantly contribute to under five mortality by allocating more resources to the maternal and child health (MNCH) program. 
Keywords

ANN, Forecasting, U5MR


Citation of this Article

Dr. Smartson. P. NYONI, Thabani NYONI, “Projecting Under Five Mortality Rate for Mauritania Using an Artificial Intelligence Technique” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 6, Issue 7, pp 370-373, July 2022. Article DOI https://doi.org/10.47001/IRJIET/2022.607079

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