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

Tracking Sri Lanka’s Under Five Mortality Rate Using Artificial Neural Networks

Abstract

This study uses annual time series data on under five mortality rate for Sri Lanka from 1960 to 2021 to predict future trends of U5MR over the period 2021 to 2030. Residuals and forecast evaluation criteria indicate that the applied ANN (12, 12, 1) model is stable in forecasting under five mortality rate. ANN model projections indicate that U5MR will continue to decline throughout the out of sample period. Therefore, health authorities in Sri Lanka should continue supporting the maternal and child healthcare (MNCH) program in order to improve the quality of maternal and child healthcare services. 

Country : Zimbabwe

1 Dr. Smartson. P. NYONI2 Thabani NYONI

  1. ZICHIRe Project, University of Zimbabwe, Harare, Zimbabwe
  2. Independent Researcher & Health Economist, Harare, Zimbabwe

IRJIET, Volume 6, Issue 7, July 2022 pp. 479-482

doi.org/10.47001/IRJIET/2022.607106

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