Exploring the achievements and forecasting of SDG 3 using machine learning algorithms: Bangladesh perspective.

Journal: PloS one
PMID: 40036282

Abstract

BACKGROUND: Sustainable Development Goal 3 (SDG 3), focusing on ensuring healthy lives and well-being for all, holds global significance and is particularly vital for Bangladesh. Neonatal Mortality Rate (NMR), Under-5 Mortality Rate (U5MR), Maternal Mortality Ratio (MMR) and Death Rate Due to Road Traffic Injuries (RTI) are considered responsible indicators of SDG 3 progress in Bangladesh. The objective of the study is to forecast these indicators of Bangladesh up to 2030 and compare these forecasts with predetermined 2030 targets. The data is obtained from the World Bank's (WB) website.

Authors

  • Md Maeen Molla
    Department of Statistics, Pirojpur Science and Technology University, Pirojpur, Bangladesh.
  • Md Sifat Hossain
    Department of Statistics, University of Rajshahi, Rajshahi, Bangladesh.
  • Md Ayub Ali
    Department of Statistics, University of Barishal, Barishal, Bangladesh.
  • Md Raqibul Islam
    Department of Statistics, University of Rajshahi, Rajshahi, Bangladesh.
  • Mst Papia Sultana
    Department of Statistics, University of Rajshahi, Rajshahi, Bangladesh.
  • Dulal Chandra Roy
    Department of Statistics, University of Rajshahi, Rajshahi, Bangladesh.

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