DETERMINATION OF ANNUAL MATERNAL MORTALITY RATE FOR MALDIVES USING A MACHINE LEARNING APPROACH

Authors

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

DOI:

https://doi.org/10.17605/

Keywords:

ANN, Forecasting, Maternal Mortality Ratio

Abstract

This research article employs annual time series data on MMR for Maldives 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 43 deaths per 100 000 live births throughout the out of sample period. Therefore, we encourage the government to address local causes of preventable maternal deaths and continue routine surveillance of severe maternal morbidity.

References

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2.Khan K.S., Wojdyla D., Say L., Gülmezoglu A.M. and Van Look P.F (2006). WHO analysis of causes of maternal death: a systematic review. The lancet, 367(9516), pp.1066-1074.

3.Li X.F., Fortney J.A., Kotelchuck M. and Glover, L.H (1996). The postpartum period: the key to maternal mortality. International Journal of Gynecology & Obstetrics, 54(1), pp.1-10.

4.WBG (2023). Maternal mortality ratio (modeled estimate, per 100,000 live births) 2023.World Bank Open Data. Available: https://data.worldbank.org

5.WHO (2020). Maternal Mortality. Available: https://www.who.int/news-room/fact sheets/detail/Maternal-mortality.

6.WHO (2023). Trends in maternal mortality 2000 to 2020: estimates by Who, UNICEF, Unfpa, World Bank Group and UNDESA/Population Division. Geneva: World Health Organization; 2023. Licence: CCBY-NC SA3.0IGO.

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Published

2026-03-31

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