Default and optimized parameters for each predictive model. by Emily S. Nichols (8740029)

Personal algorithmic recommendations of potassium and phosphorous intake and the corresponding concentration predictions. by Jari Turkia (17912475)

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Top-performing model configuration and performance by algorithm type. by Uğur Ejder (22683228)

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DataSheet1_Evolutionary algorithm for the optimization of meal intake and insulin administration in patients with type 2 diabetes.PDF by Eva Gonzalez-Flo (5046737)

Data collection during the patients’ usual treatment routine. by Jari Turkia (17912475)

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The statistical description of the original data set of the patients (<i>n</i> = 162). by Uğur Ejder (22683228)

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The list of parameters of the modified data set for machine learning (<i>n</i> = 162). by Uğur Ejder (22683228)

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Conceptual model for pathways and genes determining cholesterol plasma levels used van de Pas and colleagues [9], [10]. by Francesco Reggiani (5727733)

Personal recommendations of potassium and phosphorous intake () based on cross-validation predictions of nutrition effects, . Other parameters of the figure are similar to in-sampl... by Jari Turkia (17912475)

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Personalized normal ranges for plasma concentrations depending on the age of the patient. by Jari Turkia (17912475)

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Intake levels of potassium and phosphorous from the collected food records and their observed effects on these concentrations. by Jari Turkia (17912475)

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Correlation plot of matrix C_<i>g</i> that includes the estimated within-model and cross-model correlations in level of dialysis treatment. by Jari Turkia (17912475)

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Posterior predictive check (PPC) of the final nutritional effect model. by Jari Turkia (17912475)

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Structure of the graphical model with general, treatment, and personal level nutrient effects. by Jari Turkia (17912475)

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Comparison of model structures for personal nutrient effects. by Jari Turkia (17912475)

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Strongest and personally most varying effects of nutrients and medication. by Jari Turkia (17912475)

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Figure shows normalized root mean square error (NRMSE) of the two-level model for each patient. by Jari Turkia (17912475)

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Personal details that are used as predictors. by Jari Turkia (17912475)

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Effects of potassium and phosphorous between different dialysis treatments and between patients within the same treatment. by Jari Turkia (17912475)

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Detailed intake recommendation for Patient 36. by Jari Turkia (17912475)

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