Predicting place of delivery choice among childbearing women in East Africa: a comparative analysis of advanced machine learning techniques

Predicting place of delivery choice among childbearing women in East Africa: a comparative analysis of advanced machine learning techniques

BackgroundSub-Saharan Africa faces high neonatal and maternal mortality rates due to limited access to skilled healthcare during delivery. This study aims to improve the classification of health facilities and home deliveries using advanced machine learning techniques and to explore factors influenc...

Full description

Saved in:
Bibliographic Details
Main Authors: Habtamu Setegn Ngusie, Getanew Aschalew Tesfa, Asefa Adimasu Taddese, Ermias Bekele Enyew, Tilahun Dessie Alene, Gebremeskel Kibret Abebe, Agmasie Damtew Walle, Alemu Birara Zemariam
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-11-01
Series:Frontiers in Public Health
Subjects:
association rule mining
feature relevance
health facility delivery
home delivery
machine learning algorithms
Online Access:https://www.frontiersin.org/articles/10.3389/fpubh.2024.1439320/full
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.frontiersin.org/articles/10.3389/fpubh.2024.1439320/full

Similar Items