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

Forecasting Infant Mortality Rate in Ghana Using a Machine Learning Algorithm

Abstract

In this research paper, the ANN approach was applied to analyze infant mortality rate (IMR) in Ghana. 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 Ghana. The projections from the applied ANN (12, 12, 1) model revealed that IMR will be around 31/1000 live births per year in the next 10 years. Therefore the government is encouraged to intensify maternal and child health surveillance and control programs in order to achieve the sustainable development goals by 2030.

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. 622-626

doi.org/10.47001/IRJIET/2021.503107

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