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DOI Prefix: 10.47001/IRJIET

Estimating the Future Burden of Adolescent Births for Comoros Using a Machine Learning Algorithm

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

Vol 6 No 12 (2022): Volume 6, Issue 12, December 2022 | Pages: 189-192

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 16-03-2023

doi Logo doi.org/10.47001/IRJIET/2022.612035

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Abstract

This study employs annual time series data on adolescent fertility rate for Comoros 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. The neural network model projections revealed that adolescent fertility will hover around 60 births per 1000 women aged 15-19 throughout the out of sample period. Therefore, we encourage Comoros authorities to scale up educational campaigns and improve access to quality and affordable sexual and reproductive health services among adolescents. 

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Citation of this Article

Smartson. P. NYONI, Thabani NYONI, “Estimating the Future Burden of Adolescent Births for Comoros Using a Machine Learning Algorithm” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 6, Issue 12, pp 189-192, December 2022. Article DOI https://doi.org/10.47001/IRJIET/2022.612035

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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