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DOI Prefix: 10.47001/IRJIET

Prediction of Infant Mortality Rate in India Using a Machine Learning Technique

Dr. Smartson. P. NYONIZICHIRe Project, University of Zimbabwe, Harare, ZimbabweThabani NYONISAGIT Innovation Centre, Harare, Zimbabwe

Vol 5 No 3 (2021): Volume 5, Issue 3, March 2021 | Pages: 637-641

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 05-04-2021

doi Logo doi.org/10.47001/IRJIET/2021.503110

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Abstract
In this research article, the ANN approach was applied to analyze infant mortality rate in India. The employed annual data covers the period 1960-2020 and the out-of-sample period ranges over the period 2021-2030. The residuals and forecast evaluation criteria (Error, MSE and MAE) of the applied model indicate that the model is stable in forecasting infant mortality rate in India. The ANN (12, 12, 1) model projections suggest that infant mortality will generally decline over the next 10 years in India. The government is encouraged to intensify maternal and child health surveillance and control programs amongst other measures in order to curb infant mortality in India. This might be specifically done by adopting the suggested 7-fold policy recommendations.
Keywords

ANN, Forecasting, infant mortality rate.


Citation of this Article

Dr. Smartson. P. NYONI, Thabani NYONI, “Prediction of Infant Mortality Rate in India Using a Machine Learning Technique” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 5, Issue 3, pp 637-641, March 2021. Article DOI https://doi.org/10.47001/IRJIET/2021.503110

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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