Transforming Big Data into AI-ready data for nutrition and obesity research

CONCLUSIONS: 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.PMID:38426232 | DOI:10.1002/oby.23989

Source: Obesity - March 1, 2024 Category: Eating Disorders & Weight Management Authors: Diana M Thomas Rob Knight Jack A Gilbert Marilyn C Cornelis Marie G Gantz Kate Burdekin Kevin Cummiskey Susan C J Sumner Wimal Pathmasiri Edward Sazonov Kelley Pettee Gabriel Erin E Dooley Mark A Green Andrew Pfluger Samantha Kleinberg Source Type: research