When Eating Intuitively Is Not Always a Positive Response: Using Machine Learning to Better Unravel Eaters Profiles

Background: The aim of the present study was to identify eaters profiles using the latest advantages of Machine Learning approach to cluster analysis. Methods: A total of 317 participants completed an online-based survey including self-reported measures of body image dissatisfaction, bulimia, restra...

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Detalles Bibliográficos
Autores principales: Monthuy-Blanc, Johana, Faghihi, Usef, Fardshad, Mahan Najafpour Ghazvini, Corno, Giulia, Iceta, Sylvain, St-Pierre, Marie-Josée, Bouchard, Stéphane
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10455794/
https://www.ncbi.nlm.nih.gov/pubmed/37629214
http://dx.doi.org/10.3390/jcm12165172

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10455794/
https://www.ncbi.nlm.nih.gov/pubmed/37629214
http://dx.doi.org/10.3390/jcm12165172

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