Machine-learning algorithm to predict home delivery after antenatal care visit among reproductive age women in East Africa

BackgroundMaternal and child health remains a global public health issue, particularly in low- and middle-income countries where maternal and child mortality are extremely high. The World Health Organization estimates that close to 287,000 women die annually due to pregnancy and childbirth complicat...

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Bibliographic Details

Published in:	Frontiers in Global Women's Health
Main Authors:	Agmasie Damtew Walle, Shimels Derso Kebede, Jibril Bashir Adem, Daniel Niguse Mamo
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2025-06-01
Subjects:	machine learning home delivery ANC visit East Africa prediction
Online Access:	https://www.frontiersin.org/articles/10.3389/fgwh.2025.1461475/full