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Machine Learning Approaches for Predicting Fatty Acid Classes in Popular US Snacks Using NHANES Data
In the US, people frequently snack between meals, consuming calorie-dense foods including baked goods (cakes), sweets, and desserts (ice cream) high in lipids, salt, and sugar. Monounsaturated fatty acid (MUFA) and polyunsaturated fatty acid (PUFA) are reasonably healthy; however, excessive consumpt...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10421424/ https://www.ncbi.nlm.nih.gov/pubmed/37571247 http://dx.doi.org/10.3390/nu15153310 |