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:

Bayesian Spatial Binary Regression for Label Fusion in Structural Neuroimaging حسب D. Andrew Brown (6584837)

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:

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:

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

الموضوعات:

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

الموضوعات:

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

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:

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:

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

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: