Prediction of obesity levels based on physical activity and eating habits with a machine learning model integrated with explainable artificial intelligence

Prediction of obesity levels based on physical activity and eating habits with a machine learning model integrated with explainable artificial intelligence

ObjectivesThis study aims to build a machine learning (ML) prediction model integrated with explainable artificial intelligence (XAI) to categorize obesity levels from physical activity and dietary patterns. The inclusion of XAI methodologies facilitates a comprehensive understanding of the risk fac...

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Bibliographic Details
Main Authors: Yasin Görmez, Fatma Hilal Yagin, Burak Yagin, Yalin Aygun, Hulusi Boke, Georgian Badicu, Matheus Santos De Sousa Fernandes, Abedalrhman Alkhateeb, Mahmood Basil A. Al-Rawi, Mohammadreza Aghaei
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-07-01
Series:Frontiers in Physiology
Subjects:
obesity prediction
machine learning
explainable artificial intelligence
physical activity and diet
feature importance
Online Access:https://www.frontiersin.org/articles/10.3389/fphys.2025.1549306/full
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