This paper is in the following e-collection/theme issue:

Innovations and Technology for Healthy Eating Education (455) Machine Learning (1748) Food Sciences and Nutrition Engineering (55) mHealth for Data Collection and Research (1087)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45332, first published .
Predicting Unreported Micronutrients From Food Labels: Machine Learning Approach

Predicting Unreported Micronutrients From Food Labels: Machine Learning Approach

Predicting Unreported Micronutrients From Food Labels: Machine Learning Approach

Authors of this article:

Rouzbeh Razavi1 Author Orcid Image ;   Guisen Xue1 Author Orcid Image
Article Authors Cited by (6) Tweetations (5) Metrics

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  3. Dar B. Cereal brans: Transforming upcycled ingredients for sustainable food solutions aligned with SDGs. Trends in Food Science & Technology 2024;153:104738 View
  4. Yu B, Liu S. Deep learning application for marketing engagement – its thematic evolution. Journal of Research in Interactive Marketing 2024 View
  5. Yang X, Ho C, Gao X, Chen N, Chen F, Zhu Y, Zhang X. Machine learning: An effective tool for monitoring and ensuring food safety, quality, and nutrition. Food Chemistry 2025;477:143391 View
  6. Akpojevwe Abafe E, Smith N, Maxwell T, McNabb W. Trends in micronutrient research since the SDGs: a global perspective. Critical Reviews in Food Science and Nutrition 2025:1 View