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Showing 1 - 16 results of 16 for search '(( binary _ codon optimization algorithm ) OR ( dietary data due optimization algorithm ))', query time: 0.52s Refine Results
  1. 1
    Personal algorithmic recommendations of potassium and phosphorous intake and the corresponding concentration predictions.

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

    Published 2024
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  2. 2
    Data collection during the patients’ usual treatment routine.

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

    Published 2024
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  3. 3
    Personal recommendations of potassium and phosphorous intake () based on cross-validation predictions of nutrition effects, . Other parameters of the figure are similar to in-sample prediction in Fig 3.

    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)

    Published 2024
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  4. 4
    Personalized normal ranges for plasma concentrations depending on the age of the patient.

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

    Published 2024
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  5. 5
    Intake levels of potassium and phosphorous from the collected food records and their observed effects on these concentrations.

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

    Published 2024
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  6. 6
    Correlation plot of matrix C<sub><i>g</i></sub> that includes the estimated within-model and cross-model correlations in level of dialysis treatment.

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

    Published 2024
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  7. 7
    Posterior predictive check (PPC) of the final nutritional effect model.

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

    Published 2024
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  8. 8
    Structure of the graphical model with general, treatment, and personal level nutrient effects.

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

    Published 2024
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  9. 9
    Comparison of model structures for personal nutrient effects.

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

    Published 2024
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  10. 10
    Strongest and personally most varying effects of nutrients and medication.

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

    Published 2024
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  11. 11
    Figure shows normalized root mean square error (NRMSE) of the two-level model for each patient.

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

    Published 2024
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  12. 12
    Personal details that are used as predictors.

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

    Published 2024
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  13. 13
    Effects of potassium and phosphorous between different dialysis treatments and between patients within the same treatment.

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

    Published 2024
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  14. 14
    Detailed intake recommendation for Patient 36.

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

    Published 2024
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  15. 15
    Nutrient predictors of the model.

    Nutrient predictors of the model. by Jari Turkia (17912475)

    Published 2024
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  16. 16
    Correlation plot of matrix C<sub><i>b</i></sub> that includes the estimated within-model and cross-model correlations of personal effects.

    Correlation plot of matrix C<sub><i>b</i></sub> that includes the estimated within-model and cross-model correlations of personal effects. by Jari Turkia (17912475)

    Published 2024
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