Predicting Food Intake from Food Reward and Biometric Responses to Food Cues in Adults with Normal Weight Using Machine Learning.
Hanne PedersenLars Jorge DiazKim Katrine Bjerring ClemmensenMarie Mølle JensenMarit Eika JørgensenGraham FinlaysonJonas Salling QuistDorte VistisenMarit Eika JørgensenPublished in: The Journal of nutrition (2022)
We did not find that the reward or biometric responses to food cues assessed in a clinical setting were useful in predicting energy intake of single foods. However, this study provides a framework in the field of behavioral nutrition for applying machine learning with a focus on individual predictions. This is necessary on the road toward personalized nutrition and provides great potential for handling complex data with multiple variables.This trial was registered at clinicaltrials.gov as NCT03986619.