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

• Главные авторы: Habtamu Setegn Ngusie (Автор), Shegaw Anagaw Mengiste (Автор), Alemu Birara Zemariam (Автор), Bogale Molla (Автор), Getanew Aschalew Tesfa (Автор), Binyam Tariku Seboka (Автор), Tilahun Dessie Alene (Автор), Jing Sun (Автор)
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• Опубликовано: BMC, 2024-07-01T00:00:00Z.
• Предметы: article
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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,...