Yang Li

Deep learning approaches show promise for predicting childhood malnutrition: A comparative study with traditional machine learning methods using survey data

A scalable, survey-based screening framework for identifying children at elevated risk of malnutrition and for guiding targeted nutritional interventions in Nepal is demonstrated and offers a transferable methodological template for similar low-resource settings globally.