Analyzing Maternal Mortality For Ethiopia Using A Machine Learning Technique

Authors

  • Smartson. P. NYONI Independent Researcher & Medical Doctor, Harare, Zimbabwe
  • Thabani NYONI Independent Researcher & Health Economist, Harare, Zimbabwe

DOI:

https://doi.org/10.62480/tjms.2026.vol57.pp1-7

Keywords:

ANN, Forecasting, Maternal Mortality Ratio

Abstract

This research article employs annual time series data on MMR for Ethiopia from 1985 to 2023 to predict future trends of MMR over the period 2024 to 2035. 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 MMR will hover around 190 deaths per 100 000 live births throughout the out of sample period. Therefore, we encourage the government to adopt the suggested 5-fold policy prescription.

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Published

2026-07-21

Issue

Vol. 58 (2026): TJMS

Section

Articles

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How to Cite

Analyzing Maternal Mortality For Ethiopia Using A Machine Learning Technique. (2026). Texas Journal of Medical Science, 58, 1-7. https://doi.org/10.62480/tjms.2026.vol57.pp1-7

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