DETERMINATION OF FUTURE VALUES OF MATERNAL MORTALITY RATE FOR NORWAY USING A MACHINE LEARNING APPROACH
Keywords:
ANN, Forecasting, Maternal Mortality RatioAbstract
This research article employs annual time series data on MMR for Norway 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 remain very low throughout the out of sample period. Therefore, we encourage the government to address local drivers of maternal mortality.
References
1.FHI (2024). Nasjonale kvalitetsindikatorer innen tema fødsel [Internett]. 2024.
2.Geetika S., Mohan L., Tejbir S., and Shyam S.D (2015). To study the utilization of antenatal services among the pregnant women of rural Amritsar: An international study. International Journal of current Research, 2015; 7(5), p. 5789-15792.
3.
Khanal V., Mishra R.S., and Karkee R (2015). Under-utilization of antenatal care services in Timor-Leste: results from demographic and health survey 2009-2010. BMC Pregnancy and Childhood, 2015;15(211)
4.Kvale G., Olsen B.E., Hinderaker S.G., Ulstein M., and Bergsjo P (2005). Maternal Deaths in Developing Countries: A Preventable Tragedy, Norsk Epidemiology, 2005; 15(2) p. 141-149.
5.WHO (2009). WHO Recommended Interventions for Improving Maternal and Newborn Health (2nd edition). Geneva: WHO Department of Making Pregnancy Safer; 2009.
6.WHO (2010). WHO, UNICEF, UNIFPA, The World Bank. Trends in maternal mortality 1990-2008: Global Health Observatory. Geneva: WHO Publication; 2010
7.WHO (2014). WHO, UNICEF. Every Newborn: an action plan to end preventable deaths. Geneva. Available from: http://www.everynewborn.org/Documents/Full-action-plan-EN.pdf.
