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

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

الموضوعات:

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

الموضوعات:

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

الموضوعات:

Flow diagram of the proposed model. حسب Uğur Ejder (22683228)

الموضوعات:

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

الموضوعات:

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

الموضوعات:

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

الموضوعات:

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

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

الموضوعات:

The comparison of the accuracy score of the benchmark and the proposed models. حسب Uğur Ejder (22683228)

الموضوعات:

The prediction accuracy of simple versus hybrid models. حسب Uğur Ejder (22683228)

الموضوعات:

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

الموضوعات:

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

الموضوعات:

The accuracy score change matrix following model development. حسب Uğur Ejder (22683228)

الموضوعات:

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

الموضوعات:

Comparison of baseline and hybrid machine learning models in predicting IVF outcomes (%). حسب Uğur Ejder (22683228)

الموضوعات:

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

الموضوعات:

Confusion matrix of the ABC–LR–RF hybrid model for IVF outcome prediction. حسب Uğur Ejder (22683228)

الموضوعات:

Calibration curve of the ABC–LR–RF hybrid model for IVF outcome prediction. حسب Uğur Ejder (22683228)

الموضوعات: