College of Engineering faculty members Associate Professor Hua Fang (Computer & Information Science) and Associate Professor Honggang Wang (Electrical & Computer Engineering) have received a $452,178 research grant from the National Institute of Health for their project titled VIP: Visual-Valid Dietary Behavior Pattern Recognition for Local-National Trials.
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The researchers acknowledge that chronic diseases like diabetes, obesity, and cardiovascular issues are among the most common, costly, and preventable of all health problems in the U.S., but a healthy diet can reduce the risk of these ailments. While there are many recommendations put forth by U.S. agencies, a noticeable gap exists between dietary pattern literature and the fast-growing statistical learning field.
By developing an innovative statistical learning tool, Fang and Wang will examine longitudinal trial data and identify trajectory patterns that characterize patients’ complex engagement and cognitive response to diet-based treatment effects.
Fang and Wang believe their work will contribute to the infrastructure for diet-related studies, advance pattern- recognition methods, assess dietary health risks and help scientific communities and the public compare local and national diet-quality guidelines. They also hope the project will create a data management platform that supports near-real-time pattern analyses and adaptive interventions for wider use.