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

Assessment of the Feasibility of Achieving Substantial Reduction of Under Five Mortality for Pakistan Using Artificial Neural Networks

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: 410-413

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/2022.607089

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Abstract
This study uses annual time series data on under five mortality rate for Pakistan from 1960 to 2020 to predict future trends of U5MR over the period 2021 to 2030. Residuals and forecast evaluation indicate that the applied ANN (12, 12, 1) model is stable in forecasting under five mortality in Pakistan. The ANN model projections indicate that U5MR will remain high throughout the out of sample period. Therefore, the government of Pakistan should address various challenges that hinder success of the maternal and child health (MNCH) program. 
Keywords

ANN, Forecasting, U5MR.


Citation of this Article

Dr. Smartson. P. NYONI, Thabani NYONI, “Assessment of the Feasibility of Achieving Substantial Reduction of Under Five Mortality for Pakistan Using Artificial Neural Networks” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 6, Issue 7, pp 410-413, July 2022. Article DOI https://doi.org/10.47001/IRJIET/2022.607089

Licence Copyright (c) 2026 International Research Journal of Innovations in Engineering and Technology creative common licence This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence
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