Machine Learning with Ingredient-Level Food Trees Reveals Contributors to Systemic Inflammation Among Adults in the National Health and Nutrition Examination Survey, 2001-2010 and 2015-2018.

Journal: Journal of the Academy of Nutrition and Dietetics
Published Date: May 28, 2025

Abstract

BACKGROUND: Methods for modeling the relationship between self-reported 24-hour dietary recalls and health outcomes are traditionally based on nutrients and/or dietary patterns. Machine learning (ML) combined with hierarchical representations of diet may help improve estimates of health and identify specific foods associated with diet-induced inflammation.

Authors

  • Jules A Larke
    United States Department of Agriculture, Agricultural Research Service, Western Human Nutrition Research Center, Davis, CA 95616, USA.
  • Danielle G Lemay
    Western Human Nutrition Research Center, USDA ARS, Davis, CA 95616, USA.

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