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

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

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,...

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Main Authors: Habtamu Setegn Ngusie (Author), Shegaw Anagaw Mengiste (Author), Alemu Birara Zemariam (Author), Bogale Molla (Author), Getanew Aschalew Tesfa (Author), Binyam Tariku Seboka (Author), Tilahun Dessie Alene (Author), Jing Sun (Author)
Format: Book
Published: BMC, 2024-07-01T00:00:00Z.
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