A stacked ensemble machine learning model for the prediction of pentavalent 3 vaccination dropout in East Africa

A stacked ensemble machine learning model for the prediction of pentavalent 3 vaccination dropout in East Africa

IntroductionVaccination is critical for reducing childhood mortality, yet completion rates for the third dose of the pentavalent vaccine (Penta 3) in East Africa remain inadequate. This study aims to predict Penta 3 vaccination dropout using a stacking ensemble machine learning model with Demographi...

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Bibliographic Details
Main Authors: Meron Asmamaw Alemayehu, Shimels Derso Kebede, Agmasie Damtew Walle, Daniel Niguse Mamo, Ermias Bekele Enyew, Jibril Bashir Adem
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-04-01
Series:Frontiers in Big Data
Subjects:
Penta 3 vaccination
stacked ensemble model
SHAP values
East Africa
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fdata.2025.1522578/full
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https://www.frontiersin.org/articles/10.3389/fdata.2025.1522578/full

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