Nutrition research increasingly utilizes artificial intelligence (AI) and machine learning (ML) models. However, inadequate modeling processes can lead to misleading results and ethical concerns. This tutorial identifies frequently omitted best practices in statistical modeling and their application to ML models in nutrition research. It provides a checklist and guiding principles to help nutrition researchers develop, evaluate, and implement AI/ML models ethically and effectively, mitigating potential bias and ensuring reproducible results.
Publisher
Nutrition and Diabetes
Published On
Dec 02, 2022
Authors
Diana M. Thomas, Samantha Kleinberg, Andrew W. Brown, Mason Crow, Nathaniel D. Bastian, Nicholas Reisweber, Robert Lasater, Thomas Kendall, Patrick Shafto, Raymond Blaine, Sarah Smith, Daniel Ruiz, Christopher Morrell, Nicholas Clark
Tags
nutrition research
artificial intelligence
machine learning
ethical modeling
best practices
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