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

Hu, Guanlan; Ahmed, Mavra; L'Abbé, Mary R

Hu, Guanlan; Ahmed, Mavra; L'Abbé, Mary R.

Afiliação

Hu G; Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
Ahmed M; Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada; Joannah & Brian Lawson Centre for Child Nutrition, University of Toronto, ON, Canada.
L'Abbé MR; Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada. Electronic address: mary.labbe@utoronto.ca.

Am J Clin Nutr ; 117(3): 553-563, 2023 03.

Article em En | MEDLINE | ID: mdl-36872019

Assuntos

Alimentos; Processamento de Linguagem Natural; Humanos; Valor Nutritivo; Aprendizado de Máquina; Estado Nutricional

Palavras-chave

food categorization; food composition database; food label; machine learning; natural language processing (NLP); nutrient profiling; nutrition facts table; nutrition quality; pretrained language model

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Processamento de Linguagem Natural / Alimentos Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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