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Natural language processing and machine learning approaches for food categorization and nutrition quality prediction compared with traditional methods.
Am J Clin Nutr. 2023 Mar;117(3):553-563. doi: 10.1016/j.ajcnut.2022.11.022. Epub 2022 Dec 23.
Am J Clin Nutr. 2023.
PMID: 36872019
Free article.
For FSANZ score prediction, our proposed method reached a similar prediction accuracy (R(2): 0.87 and MSE: 14.4) compared with bag-of-words methods (R(2): 0.72-0.84; MSE: 30.3-17.6), whereas structured nutrition facts machine learning model performed the best (R …
For FSANZ score prediction, our proposed method reached a similar prediction accuracy (R(2): 0.87 and MSE: 14.4) compared with bag-of …
Assessment of Packaged Foods and Beverages Carrying Nutrition Marketing against Canada's Food Guide Recommendations.
Franco-Arellano B, Kim MA, Vandevijvere S, Bernstein JT, Labonté MÈ, Mulligan C, L'Abbé MR.
Franco-Arellano B, et al.
Nutrients. 2019 Feb 15;11(2):411. doi: 10.3390/nu11020411.
Nutrients. 2019.
PMID: 30781351
Free PMC article.
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