Natural language processing and machine learning approaches for food categorization and nutrition quality prediction compared with traditional methods.

Journal: The American journal of clinical nutrition
PMID: 36872019

Abstract

BACKGROUND: Food categorization and nutrient profiling are labor intensive, time consuming, and costly tasks, given the number of products and labels in large food composition databases and the dynamic food supply.

Authors

  • Guanlan Hu
    Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
  • Mavra Ahmed
    Department of Nutritional Sciences, Temerty Faculty School of Medicine, University of Toronto, Toronto, ON, Canada.
  • Mary R L'AbbĂ©
    Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada. Electronic address: mary.labbe@utoronto.ca.

Keywords

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