International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

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DOI Prefix: 10.47001/IRJIET

Projecting Future Trends of Under Five Mortality Rate for Rwanda Using a Machine Learning Algorithm

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: 438-441

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 06-09-2022

doi Logo doi.org/10.47001/IRJIET/2022.607096

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Abstract

This study uses annual time series data on under five mortality rate for Rwanda from 1960 to 2020 to predict future trends of under-five mortality rate 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 projections revealed that the annualU5MR will hover around 42 deaths per 1000 live births throughout the out of sample period. Therefore, we implore the Rwandan government to focus on solving all the pertinent issues affecting under five children especially in the rural areas. 

Keywords

ANN, Forecasting, U5MR


Citation of this Article

Dr. Smartson. P. NYONI, Thabani NYONI, “Projecting Future Trends of Under Five Mortality Rate for Rwanda Using a Machine Learning Algorithm” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 6, Issue 7, pp 438-441, July 2022. Article DOI https://doi.org/10.47001/IRJIET/2022.607096

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