PROJECTION OF MATERNAL MORTALITY FOR JAMAICA USING A MACHINE LEARNING TECHNIQUE
DOI:
https://doi.org/10.17605/Keywords:
ANN, Forecasting, Maternal Mortality RatioAbstract
This research article employs annual time series data on MMR for Jamaica 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 is likely going to increase and remain high throughout the out of sample period. Therefore, we encourage the government to address local causes of preventable maternal mortality.
References
1.Caughey A.B., and Turrentine M (2018). ACOG PRACTICE BULLETIN: Gestational Diabetes Mellitus. Obstetrics and Gynecology. 131(2): E49–64.
2.Chakhtoura N., Chinn J.J., Grantz K.L., Eisenberg E., Artis Dickerson S., Lamar C (2019). Importance of research in reducing maternal morbidity and mortality rates. Am J Obstet Gynecol. 221(3):179–82.
3.Jamaica (2022) Maternal Mortality Rate 2000-2022. Macro Trends. [cited 2022 Oct 11]. Available from: https://www.macrotrends.net/ countries/JAM/jamaica/maternal-mortality-rate
4.Kanguru L., McCaw-Binns A., Bell J., Yonger-Coleman N., Wilks R., and Hussein J (2017). The burden of obesity in women of reproductive age and in pregnancy in a middle-income setting: A population-based study from Jamaica. PLoS One. 12(12): e0188677.
5.McCaw-Binns A., Campbell L., Harris A., James L.A., and Asnani M (2022). Maternal mortality among women with sickle cell disease in Jamaica over two decades (1998–2017).





