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Digital Single-Image Smartphone Assessment of Total Body Fat and Abdominal Fat Using Machine Learning
Background: Obesity is chronic health problem. Screening for the obesity phenotype is limited by the availability of practical methods. Methods: We determined the reproducibility and accuracy of an automated machine-learning method using smartphone camera-enabled capture and analysis of single, two-...
Autores principales: | Farina, Gian Luca, Orlandi, Carmine, Lukaski, Henry, Nescolarde, Lexa |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9657201/ https://www.ncbi.nlm.nih.gov/pubmed/36366063 http://dx.doi.org/10.3390/s22218365 |
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Correction: Farina, G.L., et al. A Smartphone Application for Personal Assessments of Body Composition and Phenotyping. Sensors 2016, 16, 2163
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