Transforming Big Data into AI-ready data for nutrition and obesity research.
Diana M ThomasRob KnightJack A GilbertMarilyn C CornelisMarie G GantzKate BurdekinKevin CummiskeySusan C J SumnerWimal PathmasiriEdward SazonovKelley Pettee GabrielErin E DooleyMark Alan GreenAndrew PflugerSamantha KleinbergPublished in: Obesity (Silver Spring, Md.) (2024)
Big Data have the exciting potential for identifying new modifiable factors that impact obesity research. However, to ensure accurate interpretation of conclusions arising from Big Data, the choices involved in preparing AI- and ML-ready data need to be transparent to investigators and clinicians relying on the conclusions.