Predicting pregnancy loss and its determinants among reproductive-aged women using supervised machine learning algorithms in Sub-Saharan Africa

BackgroundPregnancy loss is a significant public health issue globally, particularly in Sub-Saharan Africa (SSA), where maternal health outcomes continue to be a major concern. Despite notable progress in improving maternal health, pregnancy-related complications, including s due to miscarriages, st...

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Үндсэн зохиолчид:	Tirualem Zeleke Yehuala, Sara Beyene Mengesha, Nebebe Demis Baykemagn
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	Frontiers Media S.A. 2025-02-01
Цуврал:	Frontiers in Global Women's Health
Нөхцлүүд:	prediction reproductive-aged women pregnancy loss machine learning Sub-Saharan Africa
Онлайн хандалт:	https://www.frontiersin.org/articles/10.3389/fgwh.2025.1456238/full
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!