Understanding human food intake behavior and related health risks is critical for important societal goals such as preventing or managing many chronic conditions, promoting well-being and safety, and improving life-long health learning. Harnessing a number of harmonized dietary data from highly-comparable local and national trials, our innovative Intelligent Diet Quality Pattern Analysis (iPAT) tool will provide a more robust identification and visualization of diet-quality patterns and clarify our understanding of diet-disease relationships for a range of people over time and across geographic regions. Our work will help grow more valid evidence for formulating dietary guidelines and may enable better personalized, adaptive dietary strategies.
VIP-iPAT Harmonized Database
