Cargando…
Integration of USDA Food Classification System and Food Composition Database for Image-Based Dietary Assessment among Individuals Using Insulin
New imaging technologies to identify food can reduce the reporting burden of participants but heavily rely on the quality of the food image databases to which they are linked to accurately identify food images. The objective of this study was to develop methods to create a food image database based...
Autores principales: | Lin, Luotao, He, Jiangpeng, Zhu, Fengqing, Delp, Edward J., Eicher-Miller, Heather A. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10385317/ https://www.ncbi.nlm.nih.gov/pubmed/37513600 http://dx.doi.org/10.3390/nu15143183 |
Ejemplares similares
-
Long-Tailed Food Classification
por: He, Jiangpeng, et al.
Publicado: (2023) -
Differences in Dietary Intake Exist among U.S. Adults by Diabetic Status Using NHANES 2009–2016
por: Lin, Luotao, et al.
Publicado: (2022) -
Dietary Aspects to Incorporate in the Creation of a Mobile Image-Based Dietary Assessment Tool to Manage and Improve Diabetes
por: Qin, Yue, et al.
Publicado: (2021) -
The Discovery of Data-Driven Temporal Dietary Patterns and a Validation of Their Description Using Energy and Time Cut-Offs
por: Lin, Luotao, et al.
Publicado: (2022) -
The Discovery of Data-Driven Temporal Dietary Patterns and a Validation of Their Description Using Energy and Time Cut-Offs
por: Lin, Luotao, et al.
Publicado: (2022)