Application of Explainable Artificial Intelligence for personalized childhood weight management using IoT data
Abstract: Highlights•An AI-based healthcare framework is proposed to predict weight changes in an IoT environment.•Explainable AI identifies key weight factors for personalized recommendations.•Synthetic data generation addresses class imbalance, improving model accuracy.
External IDs:dblp:journals/cbm/JeongJMSL25
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