Omotola M. Fajana

Artificial intelligence detects the dismantling of nutrient co-occurrence architecture by ultra-processing: explainable machine learning and network analysis of 22,481 usda-classified foods

UPFNet is constructed, an artificial-intelligence framework that couples nutrient co-occurrence network analysis with explainable machine learning across 22,481 foods from two USDA composition databases spanning 788,582 measurements across 33 nutrients, with NOVA group assignment via a validated 67-term keyword algorit...