Supplementary file 1_Prediction of obesity levels based on physical activity and eating habits with a machine learning model integrated with explainable artificial intelligence.docx

Supplementary file 1_Prediction of obesity levels based on physical activity and eating habits with a machine learning model integrated with explainable artificial intelligence.docx

Objectives<p>This 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...

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Библиографические подробности
Главный автор: Yasin Görmez (21725819) (author)
Другие авторы: Fatma Hilal Yagin (16919544) (author), Burak Yagin (17536698) (author), Yalin Aygun (21598763) (author), Hulusi Boke (21725822) (author), Georgian Badicu (17560118) (author), Matheus Santos De Sousa Fernandes (21725825) (author), Abedalrhman Alkhateeb (5622167) (author), Mahmood Basil A. Al-Rawi (17585418) (author), Mohammadreza Aghaei (19000436) (author)
Опубликовано: 2025
Предметы:
Physiology
obesity prediction
machine learning
explainable artificial intelligence
physical activity and diet
feature importance
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