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...

Descrizione completa

Dettagli Bibliografici

Autori principali:	Tirualem Zeleke Yehuala, Sara Beyene Mengesha, Nebebe Demis Baykemagn
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Frontiers Media S.A. 2025-02-01
Serie:	Frontiers in Global Women's Health
Soggetti:	prediction reproductive-aged women pregnancy loss machine learning Sub-Saharan Africa
Accesso online:	https://www.frontiersin.org/articles/10.3389/fgwh.2025.1456238/full
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!