Relative validity of a mobile AI-technology–assisted dietary assessment in adolescent females in Vietnam

BACKGROUND: There is a gap in data on dietary intake of adolescents in low- and middle-income countries (LMICs). Traditional methods for dietary assessment are resource intensive and lack accuracy with regard to portion-size estimation. Technology-assisted dietary assessment tools have been proposed...

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Detalles Bibliográficos
Autores principales: Nguyen, Phuong Hong, Tran, Lan Mai, Hoang, Nga Thu, Trương, Duong Thuy Thi, Tran, Trang Huyen Thi, Huynh, Phuong Nam, Koch, Bastien, McCloskey, Peter, Gangupantulu, Rohit, Folson, Gloria, Bannerman, Boateng, Arrieta, Alejandra, Braga, Bianca C, Arsenault, Joanne, Kehs, Annalyse, Doyle, Frank, Hughes, David, Gelli, Aulo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Original Research Communications
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9535545/
https://www.ncbi.nlm.nih.gov/pubmed/35945309
http://dx.doi.org/10.1093/ajcn/nqac216

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9535545/
https://www.ncbi.nlm.nih.gov/pubmed/35945309
http://dx.doi.org/10.1093/ajcn/nqac216

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