Nutrient composition databases in the age of big data: foodDB, a comprehensive, real-time database infrastructure

OBJECTIVES: Traditional methods for creating food composition tables struggle to cope with the large number of products and the rapid pace of change in the food and drink marketplace. This paper introduces foodDB, a big data approach to the analysis of this marketplace, and presents analyses illustr...

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Detalles Bibliográficos
Autores principales: Harrington, Richard Andrew, Adhikari, Vyas, Rayner, Mike, Scarborough, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2019
Materias:
Nutrition and Metabolism
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6609072/
https://www.ncbi.nlm.nih.gov/pubmed/31253615
http://dx.doi.org/10.1136/bmjopen-2018-026652

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6609072/
https://www.ncbi.nlm.nih.gov/pubmed/31253615
http://dx.doi.org/10.1136/bmjopen-2018-026652

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