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Use of Natural Spoken Language With Automated Mapping of Self-reported Food Intake to Food Composition Data for Low-Burden Real-time Dietary Assessment: Method Comparison Study.
Taylor, Salima; Korpusik, Mandy; Das, Sai; Gilhooly, Cheryl; Simpson, Ryan; Glass, James; Roberts, Susan.
Afiliação
  • Taylor S; Jean Mayer United States Department of Agriculture Human Nutrition Research Center on Aging, Tufts University, Boston, MA, United States.
  • Korpusik M; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, United States.
  • Das S; Jean Mayer United States Department of Agriculture Human Nutrition Research Center on Aging, Tufts University, Boston, MA, United States.
  • Gilhooly C; Jean Mayer United States Department of Agriculture Human Nutrition Research Center on Aging, Tufts University, Boston, MA, United States.
  • Simpson R; Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, United States.
  • Glass J; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, United States.
  • Roberts S; Jean Mayer United States Department of Agriculture Human Nutrition Research Center on Aging, Tufts University, Boston, MA, United States.
J Med Internet Res ; 23(12): e26988, 2021 12 06.
Article em En | MEDLINE | ID: mdl-34874885
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Dieta / Idioma Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: J Med Internet Res Ano de publicação: 2021 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Dieta / Idioma Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: J Med Internet Res Ano de publicação: 2021 Tipo de documento: Article