Predicting adverse birth outcome among childbearing women in Sub-Saharan Africa: employing innovative machine learning techniques.

Journal: BMC public health
PMID: 39075434

Abstract

BACKGROUND: Adverse birth outcomes, including preterm birth, low birth weight, and stillbirth, remain a major global health challenge, particularly in developing regions. Understanding the possible risk factors is crucial for designing effective interventions for birth outcomes. Accordingly, this study aimed to develop a predictive model for adverse birth outcomes among childbearing women in Sub-Saharan Africa using advanced machine learning techniques. Additionally, this study aimed to employ a novel data science interpretability techniques to identify the key risk factors and quantify the impact of each feature on the model prediction.

Authors

  • Habtamu Setegn Ngusie
    Department of Health Informatics, School of Public Health, College of Medicine and Health Sciences, Woldia University, Woldia, Ethiopia.
  • Shegaw Anagaw Mengiste
    Department of Business, History and Social Sciences, University of Southeastern Norway, Vestfold, Vestfold, Norway.
  • Alemu Birara Zemariam
    Department of Pediatrics and Child Health Nursing, School of Nursing, College of Medicine and Health Science, Woldia University, Woldia, Ethiopia.
  • Bogale Molla
    Department of Maternal and Reproductive Health, School of Nursing, College of Medicine and Health Science, Woldia University, Woldia, Ethiopia.
  • Getanew Aschalew Tesfa
    School of Public Health, College of Medicine and Health Science, Dilla University, Dilla, Ethiopia.
  • Binyam Tariku Seboka
    School of Public Health, College of Medicine and Health Science, Dilla University, Dilla, Ethiopia.
  • Tilahun Dessie Alene
    Department of Pediatric and Child Health, School of Medicine, College of Medicine and Health Science, Wollo University, Dessie, Ethiopia.
  • Jing Sun
    Department of Gastroenterology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

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