Cargando…
Carbohydrate Counting App Using Image Recognition for Youth With Type 1 Diabetes: Pilot Randomized Control Trial
BACKGROUND: Carbohydrate counting is an important component of diabetes management, but it is challenging, often performed inaccurately, and can be a barrier to optimal diabetes management. iSpy is a novel mobile app that leverages machine learning to allow food identification through images and tha...
Autores principales: | Alfonsi, Jeffrey E, Choi, Elizabeth E Y, Arshad, Taha, Sammott, Stacie-Ann S, Pais, Vanita, Nguyen, Cynthia, Maguire, Bryan R, Stinson, Jennifer N, Palmert, Mark R |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7657721/ https://www.ncbi.nlm.nih.gov/pubmed/33112249 http://dx.doi.org/10.2196/22074 |
Ejemplares similares
-
Development and Validation of a Questionnaire to Assess Carbohydrate and Insulin-Dosing Knowledge in Youth With Type 1 Diabetes
por: Koontz, Michaela B., et al.
Publicado: (2010) -
Accuracy of Carbohydrate Counting in Adults
por: Meade, Lisa T., et al.
Publicado: (2016) -
Death to Carbohydrate Counting?
por: Davis, Nichola J., et al.
Publicado: (2008) -
Value of carbohydrate counting
por: Briggs Early, Kathaleen
Publicado: (2023) -
Design of an mHealth App for the Self-management of Adolescent Type 1 Diabetes: A Pilot Study
por: Cafazzo, Joseph A, et al.
Publicado: (2012)