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- W2892065322 abstract "In this article, the authors develop and analyze a linear programming model to obtain an ideal diet for individuals with diabetes by setting the glycemic load as the objective function. Additionally, a standardized system is used in order to facilitate the substitutability of foods present in a diet since those are classified according to their macronutrient content (proteins, lipids, and carbohydrates) and these values are, on average, very similar. Finally, the diet glycemic index is calculated with the model's outcome to corroborate that it is indeed a diet with low glycemic index and that, at the same time, it complies with the nutrient restrictions, which proves that the model can be a useful tool both to generate low glycemic index diets and to restrict certain nutrients from the diet." @default.
- W2892065322 created "2018-09-27" @default.
- W2892065322 creator A5050853921 @default.
- W2892065322 date "2019-01-01" @default.
- W2892065322 modified "2023-10-01" @default.
- W2892065322 title "Low Glycemic Index Diets for Subjects With Diabetes by Minimizing Glycemic Load of Individual Foods" @default.
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- W2892065322 doi "https://doi.org/10.4018/ijphim.2019010101" @default.
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