Demonstrates machine learning's role to predict obesity risk in children with overweight, suggesting a new approach for monitoring health.
Machine learning models demonstrated effective predictive performance for obesity in children with overweight. Incorporating standardised adiposity measures and growth velocity beyond static anthropometric data provides a robust framework for risk stratification in this high-risk population.
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Chun et al. (2026) studied this question.
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