A Clinically Interpretable Machine Learning Framework for Knowledge Discovery and Early Outcome Prediction in Pediatric Obesity Intervention
Pediatric obesity remains a major public health challenge, yet substantial variability in treatment response limits the effectiveness of standardized intervention programs. Early assessment of short-term weight-change trajectories may provide useful information during an intervention. This study presents a clinically i...