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

Machine Learning Approach in Forecasting Adolescent Fertility for Somalia

Smartson. P. NYONIZICHIRe Project, University of Zimbabwe, Harare, ZimbabweThabani NYONIIndependent Researcher & Health Economist, Harare, Zimbabwe

Vol 7 No 2 (2023): Volume 7, Issue 2, February 2023 | Pages: 355-360

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 25-03-2023

doi Logo doi.org/10.47001/IRJIET/2023.702059

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Abstract

This study employs annual time series data on adolescent fertility rate for Somalia from 1960 to 2020 to predict future trends of adolescent fertility rate over the period 2021 to 2030. The forecast evaluation criteria of the applied model indicate that the ANN (12, 12, 1) model is stable in forecasting adolescent fertility rate. The neural network model projections revealed that adolescent fertility is expected to rise and also remain very high throughout the out of sample period. Therefore, we encourage authorities in Somalia to strictly enforce laws that safeguard sexual and reproductive health rights of women and girls, promote girl child education, fund empowerment programs for youths and provide accessible and affordable quality adolescent health care services. 

Keywords

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Citation of this Article

Smartson. P. NYONI, Thabani NYONI, “Machine Learning Approach in Forecasting Adolescent Fertility for Somalia” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 7, Issue 2, pp 355-360, February 2023. Article DOI https://doi.org/10.47001/IRJIET/2022.702059

Licence Copyright (c) 2026 International Research Journal of Innovations in Engineering and Technology creative common licence This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence
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