Application of the random forest algorithm to predict skilled birth attendance and identify determinants among reproductive-age women in 27 Sub-Saharan African countries; machine learning analysis.

Journal: BMC public health
PMID: 40050868

Abstract

INTRODUCTION: Maternal mortality refers to a mother's death owing to complications arising from childbirth or pregnancy. This issue is a forefront public health challenge around the globe which is pronounced in low- and middle-income countries, particularly in the sub-Saharan African regions where the burdens remain significantly high. Moreover, this problem is further complicated in developing countries due to limited access to antenatal care and the shortage of skilled birth attendants. So far, considerable improvements in the health status of many populations have been reported in developing countries. Nonetheless, the MDGs to reduce maternal and newborn mortality unmet in many SSA nations. Leveraging machine learning approaches allows us to better understand these constraints and predict skilled birth attendance among reproductive age women, providing actionable insights for policy and intervention.

Authors

  • Eliyas Addisu Taye
    Department of Health Informatics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
  • Eden Yitbarek Woubet
    Department of Reproductive Health, Institute of Public Health, University of Gondar, Gondar, Ethiopia.
  • Gabrela Yimer Hailie
    Department of Environmental and Occupational Health and Safety, Institute of Public Health, University of Gondar, Gondar, Ethiopia.
  • Fetlework Gubena Arage
    Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
  • Tigabu Eskeziya Zerihun
    Department of Clinical Pharmacy, Pharmacy Education and Clinical Services Directorate, College of Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia.
  • Adem Tsegaw Zegeye
    Department of Health Informatics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia. ademtsegaw0594@gmail.com.
  • Tarekegn Cheklie Zeleke
    Department of Optometry, School of Medicine, Tertiary Eye Care and Training Center, University of Gondar, Gondar, Ethiopia.
  • Abel Temeche Kassaw
    Department of Clinical Pharmacy, Pharmacy Education and Clinical Services Directorate, College of Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia.

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