Machine learning algorithms to predict khat chewing practice and its predictors among men aged 15 to 59 in Ethiopia: further analysis of the 2011 and 2016 Ethiopian Demographic and Health Survey

Machine learning algorithms to predict khat chewing practice and its predictors among men aged 15 to 59 in Ethiopia: further analysis of the 2011 and 2016 Ethiopian Demographic and Health Survey

IntroductionKhat chewing is a significant public health issue in Ethiopia, influenced by various demographic factors. Understanding the prevalence and determinants of khat chewing practices is essential to developing targeted interventions. Therefore, this study aimed to predict khat chewing practic...

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Bibliographic Details
Main Authors: Mequannent Sharew Melaku, Lamrot Yohannes, Eliyas Addisu Taye, Nebebe Demis Baykemagn
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-03-01
Series:Frontiers in Public Health
Subjects:
predictors
khat chewing practice
prediction
machine learning algorithms
demographic health survey
Ethiopia
Online Access:https://www.frontiersin.org/articles/10.3389/fpubh.2025.1555697/full
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https://www.frontiersin.org/articles/10.3389/fpubh.2025.1555697/full

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