Predicting home delivery and identifying its determinants among women aged 15–49 years in sub-Saharan African countries using a Demographic and Health Surveys 2016–2023: a machine learning algorithm

Predicting home delivery and identifying its determinants among women aged 15–49 years in sub-Saharan African countries using a Demographic and Health Surveys 2016–2023: a machine learning algorithm

Abstract Background Birth-related mortality is significantly increased by home births without skilled medical assistance during delivery, presenting a major risk to the public’s health. The objective of this study is to predict home delivery and identify the determinants using machine learning algor...

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Main Authors: Adem Tsegaw Zegeye, Binyam Chaklu Tilahun, Makida Fekadie, Eliyas Addisu, Birhan Wassie, Berihun Alelign, Mequannet Sharew, Nebebe Demis Baykemagn, Abdulaziz Kebede, Tirualem Zeleke Yehuala
Format: Article
Language:English
Published: BMC 2025-01-01
Series:BMC Public Health
Subjects:
Home delivery
Sub-Saharan Africa
Machine learning
Demographic and health survey
Python
Online Access:https://doi.org/10.1186/s12889-025-21334-1
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https://doi.org/10.1186/s12889-025-21334-1

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