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An artificial intelligence-derived tool proposal to ease disordered eating screening in people with obesity.
Iceta, Sylvain; Tardieu, Solène; Nazare, Julie-Anne; Dougkas, Anestis; Robert, Maud; Disse, Emmanuel.
Afiliação
  • Iceta S; Centre Intégré de l'Obésité Rhône-Alpes; Fédération Hospitalo-Universitaire DO-iT, Service Endocrinologie Diabète et Nutrition, Groupement Hospitalier Sud, Hospices Civils de Lyon, 165 chemin du Grand Revoyet, 69310, Pierre-Bénite, France. sylvain.iceta.1@ulaval.ca.
  • Tardieu S; Laboratoire CarMeN, Centre de Recherche en Nutrition Humaine Rhône-Alpes (CRNH-RA); Centre Européen Nutrition et Santé (CENS); Unité INSERM U1060 - INRA 1235 - INSA-Lyon, Université Claude Bernard Lyon 1, Université de Lyon, 165 chemin du Grand Revoyet, 69310, Pierre-Bénite, France. sylvain.iceta.1@
  • Nazare JA; Quebec Heart and Lung Institute (IUCPQ), Québec, QC G1V 4G5, Canada. sylvain.iceta.1@ulaval.ca.
  • Dougkas A; School of Nutrition, Laval University, Québec, QC G1V 0A6, Canada. sylvain.iceta.1@ulaval.ca.
  • Robert M; Centre Intégré de l'Obésité Rhône-Alpes; Fédération Hospitalo-Universitaire DO-iT, Service Endocrinologie Diabète et Nutrition, Groupement Hospitalier Sud, Hospices Civils de Lyon, 165 chemin du Grand Revoyet, 69310, Pierre-Bénite, France.
  • Disse E; Centre Intégré de l'Obésité Rhône-Alpes; Fédération Hospitalo-Universitaire DO-iT, Service Endocrinologie Diabète et Nutrition, Groupement Hospitalier Sud, Hospices Civils de Lyon, 165 chemin du Grand Revoyet, 69310, Pierre-Bénite, France.
Eat Weight Disord ; 26(7): 2381-2385, 2021 Oct.
Article em En | MEDLINE | ID: mdl-33387276
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Transtornos da Alimentação e da Ingestão de Alimentos Tipo de estudo: Clinical_trials / Diagnostic_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Transtornos da Alimentação e da Ingestão de Alimentos Tipo de estudo: Clinical_trials / Diagnostic_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article