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

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

Prediction of Infant Mortality Rate in Pakistan Using the Artificial Neural Network Approach

Abstract

In this research article, the ANN approach was applied to analyze infant mortality rate in Pakistan. 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 Pakistan. The ANN (12, 12, 1) model projections suggest that infant mortality will slightly decline over the next 10 years. The government is encouraged to intensify maternal and child health surveillance and control programs amongst other measures in order to curb infant mortality in Pakistan. This may be specifically done by adopting the suggested 7-fold policy recommendations. 

Country : Zimbabwe

1 Dr. Smartson. P. NYONI2 Thabani NYONI

  1. ZICHIRe Project, University of Zimbabwe, Harare, Zimbabwe
  2. SAGIT Innovation Centre, Harare, Zimbabwe

IRJIET, Volume 5, Issue 3, March 2021 pp. 642-646

doi.org/10.47001/IRJIET/2021.503111

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