Non-Anthropometric Childhood Obesity Risk Screening in Indonesia: An Explainable Machine Learning Approach
Obesity in children aged 5–12 years is a pressing public health challenge in Indonesia, where Riskesdas 2018 reported a combined overweight and obesity prevalence of about 20%. This study presents an explainable AI framework as a proof of concept for screening childhood obesity risk from non-anthropometric features, in...