Predicting Adherence to Canada's Food Guide Recommendations on Healthy Food Choices Using Machine Learning Algorithms

OBJECTIVES: Machine learning (ML) algorithms can potentially improve predictive performances compared to traditional statistical models. The aim of this study was to predict adherence to the 2019 Canada's Food Guide (CFG) recommendations on healthy food choices using ML and a large array of var...

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Detalles Bibliográficos
Autores principales: Côté, Mélina, Brassard, Didier, Robitaille, Julie, Vohl, Marie-Claude, Lemieux, Simone, Lamarche, Benoît
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Community and Public Health Nutrition
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9193560/
http://dx.doi.org/10.1093/cdn/nzac051.015

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9193560/
http://dx.doi.org/10.1093/cdn/nzac051.015

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