Your browser doesn't support javascript.
loading
Predicting Food Intake from Food Reward and Biometric Responses to Food Cues in Adults with Normal Weight Using Machine Learning.
Pedersen, Hanne; Diaz, Lars Jorge; Clemmensen, Kim Katrine Bjerring; Jensen, Marie Mølle; Jørgensen, Marit Eika; Finlayson, Graham; Quist, Jonas Salling; Vistisen, Dorte; Færch, Kristine.
Afiliação
  • Pedersen H; Clinical Research, Copenhagen University Hospital - Steno Diabetes Center Copenhagen, Herlev, Denmark.
  • Diaz LJ; National Institute of Public Health, University of Southern Denmark, Copenhagen, Denmark.
  • Clemmensen KKB; Clinical Research, Copenhagen University Hospital - Steno Diabetes Center Copenhagen, Herlev, Denmark.
  • Jensen MM; Clinical Research, Copenhagen University Hospital - Steno Diabetes Center Copenhagen, Herlev, Denmark.
  • Jørgensen ME; Clinical Research, Copenhagen University Hospital - Steno Diabetes Center Copenhagen, Herlev, Denmark.
  • Finlayson G; Clinical Research, Copenhagen University Hospital - Steno Diabetes Center Copenhagen, Herlev, Denmark.
  • Quist JS; National Institute of Public Health, University of Southern Denmark, Copenhagen, Denmark.
  • Vistisen D; Steno Diabetes Center Greenland, Nuuk, Greenland.
  • Færch K; Appetite Control and Energy Balance Research Group, School of Psychology, University of Leeds, Leeds, United Kingdom.
J Nutr ; 152(6): 1574-1581, 2022 06 09.
Article em En | MEDLINE | ID: mdl-35325189
Assuntos
Palavras-chave
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Recompensa / Sinais (Psicologia) Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Adult / Humans Idioma: En Revista: J Nutr Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Dinamarca
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Recompensa / Sinais (Psicologia) Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Adult / Humans Idioma: En Revista: J Nutr Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Dinamarca