Identifying determinants of under-5 mortality in Bangladesh: A machine learning approach with BDHS 2022 data.

Journal: PloS one
Published Date:

Abstract

BACKGROUND: Under-5 mortality in Bangladesh remains a critical indicator of public health and socio-economic development. Traditional methods often struggle to capture the complex, non-linear relationships influencing under-5 mortality. This study leverages advanced machine learning models to more accurately predict under-5 mortality and its key determinants. By enhancing prediction accuracy, the study aims to provide actionable insights for improving child survival outcomes in Bangladesh.

Authors

  • Shayla Naznin
    Department of Statistics, Mawlana Bhashani Science and Technology University, Tangail, Bangladesh.
  • Md Jamal Uddin
    ABEx Bio-Research Center, East Azampur, Dhaka, Bangladesh.
  • Ahmad Kabir
    Department of Statistics, Shahjalal University of Science and Technology, Sylhet, Bangladesh.