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

الموضوعات:

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

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:

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

الموضوعات:

Comparison of baseline and hybrid machine learning models in predicting IVF outcomes (%). 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:

ROC and PR–AUC curves of the ABC–LR–RF hybrid model for IVF outcome prediction. 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:

The most effective active substances for subfertility treatment. 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:

Flow diagram of the conversion of drugs into active substances. حسب Uğur Ejder (22683228)

الموضوعات:

<i>hi</i>PRS algorithm process flow. حسب Michela C. Massi (14599915)

"…This leads to a set of predictive, yet diverse, interactions that <b>(F)</b> we use to define the score weighting their contribution by fitting a LR model and retaining the corresponding <i>β</i> coefficients.…"

Random forest model performs better than support vector machine algorithms and when it primarily uses spontaneous photopic ERG of 60-s duration in humans. حسب Ramsés Noguez Imm (6658637)

ROC curves for the test set of four models. حسب Meng Cao (105914)

"…<div><p>Background</p><p>The high prevalence of cognitive impairment (CI) in Chronic kidney disease (CKD) patients impacts their quality of life and prognosis, yet risk prediction models for CI in this population remain underexplored.…"

SHAP bar plot. حسب Meng Cao (105914)

"…<div><p>Background</p><p>The high prevalence of cognitive impairment (CI) in Chronic kidney disease (CKD) patients impacts their quality of life and prognosis, yet risk prediction models for CI in this population remain underexplored.…"

Sample screening flowchart. حسب Meng Cao (105914)

"…<div><p>Background</p><p>The high prevalence of cognitive impairment (CI) in Chronic kidney disease (CKD) patients impacts their quality of life and prognosis, yet risk prediction models for CI in this population remain underexplored.…"

Descriptive statistics for variables. حسب Meng Cao (105914)

"…<div><p>Background</p><p>The high prevalence of cognitive impairment (CI) in Chronic kidney disease (CKD) patients impacts their quality of life and prognosis, yet risk prediction models for CI in this population remain underexplored.…"

SHAP summary plot. حسب Meng Cao (105914)

"…<div><p>Background</p><p>The high prevalence of cognitive impairment (CI) in Chronic kidney disease (CKD) patients impacts their quality of life and prognosis, yet risk prediction models for CI in this population remain underexplored.…"