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DOI Prefix: 10.47001/IRJIET

Forecasting Infant Mortality in Oman Using Artificial Neural Networks

Abstract

In this research paper, the ANN approach was applied to analyze infant mortality rate (IMR) in Oman. The employed data annual covers the period 1963-2020 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 IMR in Oman. The applied ANN (12,12,1) model predictions indicated that IMR will be around 9/1000 live births per year in the out-of-sample period. Therefore the government is encouraged to allocate more resources towards primary health care in order to improve the quality of maternal and child healthcare services in the underprivileged communities.

Country : Zimbabwe

1 Dr. Smartson. P. NYONI2 Thabani NYONI

  1. ZICHIRe Project, University of Zimbabwe, Harare, Zimbabwe
  2. Department of Economics, University of Zimbabwe, Harare, Zimbabwe

IRJIET, Volume 5, Issue 3, March 2021 pp. 701-705

doi.org/10.47001/IRJIET/2021.503123

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