NutriRAG: Unleashing the Power of Large Language Models for Food Identification and Classification through Retrieval Methods.

Journal: medRxiv : the preprint server for health sciences
Published Date: Mar 20, 2025

Abstract

OBJECTIVE: This study explores the use of advanced Natural Language Processing (NLP) techniques to enhance food classification and dietary analysis using raw text input from a diet tracking app.

Authors

  • Huixue Zhou
    Institute for Health Informatics, University of Minnesota, Minneapolis, Minnesota, USA.
  • Lisa S Chow
    Division of Diabetes, Endocrinology and Metabolism, Department of Medicine University of Minnesota, Minneapolis, Minnesota, USA.
  • Lisa Harnack
    Institute for Health Informatics, University of Minnesota, Minneapolis, Minnesota, USA.
  • Satchidananda Panda
    Salk Institute for Biological Studies, San Diego, California, USA.
  • Emily N C Manoogian
    Salk Institute for Biological Studies, San Diego, California, USA.
  • Minchen Li
    Division of Computational Health Sciences, Department of Surgery, University of Minnesota, Minneapolis, Minnesota, USA.
  • Yongkang Xiao
    Institute for Health Informatics, University of Minnesota, Minneapolis, Minnesota, USA.
  • Rui Zhang
    Department of Cardiology, Zhongda Hospital, Medical School of Southeast University, Nanjing, China.

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