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

Forecasting Infant Mortality Rate in Yemen Using a Machine Learning Method

Abstract

In this research paper, the ANN approach was applied to analyze infant mortality rate (IMR) in Yemen. 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 IMR in Yemen. The applied ANN (12, 12, 1) model predictions suggest that IMR will be around 43/1000 live births per year over the next 10 years. Therefore the government is encouraged to prioritize primary health care in order to improve access to health services especially safe institutional deliveries and quality early neonatal care.

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. 676-680

doi.org/10.47001/IRJIET/2021.503118

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