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...
O. Agboola, Z. Ayinla, Samuel S. Agboola et al.
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