Predicting Cognitive Outcome Through Nutrition and Health Markers Using Supervised Machine Learning.

Journal: The Journal of nutrition
Published Date: May 12, 2025

Abstract

BACKGROUND: Machine learning (ML) use in health research is growing, yet its application to predict cognitive outcomes using diverse health indicators is underinvestigated.

Authors

  • Shreya Verma
    Health and Kinesiology, University of Illinois Urbana-Champaign, Urbana, IL, United States.
  • Tori A Holthaus
    Division of Nutritional Sciences, University of Illinois Urbana-Champaign, Urbana, IL, United States.
  • Shelby Martell
    Neuroscience Program, University of Illinois Urbana-Champaign, Urbana, IL, United States.
  • Hannah D Holscher
    Department of Food Science and Human Nutrition, University of Illinois Urbana-Champaign, Urbana, IL 61801, United States.
  • Ruoqing Zhu
    Department of Statistics, University of Illinois at Urbana Champaign, Illini Hall, 725S Wright St #101, 61820, Champaign, IL, USA. rqzhu@illinois.edu.
  • Naiman A Khan
    Health and Kinesiology, University of Illinois Urbana-Champaign, Urbana, IL, United States; Division of Nutritional Sciences, University of Illinois Urbana-Champaign, Urbana, IL, United States; Neuroscience Program, University of Illinois Urbana-Champaign, Urbana, IL, United States; Beckman Institute of Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, IL, United States. Electronic address: nakhan2@illinois.edu.

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