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1561
Proposed model training parameters.
منشور في 2024"…Firstly, an Elephant Herding Optimization (EHO) algorithm selects pertinent features for classification tasks. …"
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1562
Input image and extracted features maps.
منشور في 2024"…Firstly, an Elephant Herding Optimization (EHO) algorithm selects pertinent features for classification tasks. …"
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1563
Correlation heat map for feature selection.
منشور في 2024"…Firstly, an Elephant Herding Optimization (EHO) algorithm selects pertinent features for classification tasks. …"
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1564
Layer wise structure complexity reduction.
منشور في 2024"…Firstly, an Elephant Herding Optimization (EHO) algorithm selects pertinent features for classification tasks. …"
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1565
Accuracy change vs. ELM layers pruning rate.
منشور في 2024"…Firstly, an Elephant Herding Optimization (EHO) algorithm selects pertinent features for classification tasks. …"
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1566
Characteristic and limitations of existing work.
منشور في 2024"…Firstly, an Elephant Herding Optimization (EHO) algorithm selects pertinent features for classification tasks. …"
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1567
Working procedure of ELM classifier network.
منشور في 2024"…Firstly, an Elephant Herding Optimization (EHO) algorithm selects pertinent features for classification tasks. …"
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1568
Proposed CNN (EHO+HOBS-ELM) architecture.
منشور في 2024"…Firstly, an Elephant Herding Optimization (EHO) algorithm selects pertinent features for classification tasks. …"
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1569
Performance comparison of NGNDG-AF, ReLU and ELU.
منشور في 2025"…The objectives of this study were to develop reliable optimized <i>CNN</i> prediction models for skin cancer classification, to handle the severe class imbalance problem where skin cancer class was found to be much smaller than the healthy class. …"
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1570
AUC of ResNet152V2 CNN with Adam for <i>β</i> = 1.
منشور في 2025"…The objectives of this study were to develop reliable optimized <i>CNN</i> prediction models for skin cancer classification, to handle the severe class imbalance problem where skin cancer class was found to be much smaller than the healthy class. …"
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1571
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1572
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1573
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1574
SHAP bar plot.
منشور في 2025"…<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.</p><p>Objective</p><p>This study aimed to develop a risk prediction model for CI in CKD patients using machine learning algorithms, with the objective of enhancing risk prediction accuracy and facilitating early intervention.…"
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1575
Sample screening flowchart.
منشور في 2025"…<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.</p><p>Objective</p><p>This study aimed to develop a risk prediction model for CI in CKD patients using machine learning algorithms, with the objective of enhancing risk prediction accuracy and facilitating early intervention.…"
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1576
Descriptive statistics for variables.
منشور في 2025"…<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.</p><p>Objective</p><p>This study aimed to develop a risk prediction model for CI in CKD patients using machine learning algorithms, with the objective of enhancing risk prediction accuracy and facilitating early intervention.…"
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1577
SHAP summary plot.
منشور في 2025"…<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.</p><p>Objective</p><p>This study aimed to develop a risk prediction model for CI in CKD patients using machine learning algorithms, with the objective of enhancing risk prediction accuracy and facilitating early intervention.…"
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1578
ROC curves for the test set of four models.
منشور في 2025"…<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.</p><p>Objective</p><p>This study aimed to develop a risk prediction model for CI in CKD patients using machine learning algorithms, with the objective of enhancing risk prediction accuracy and facilitating early intervention.…"
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1579
Display of the web prediction interface.
منشور في 2025"…<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.</p><p>Objective</p><p>This study aimed to develop a risk prediction model for CI in CKD patients using machine learning algorithms, with the objective of enhancing risk prediction accuracy and facilitating early intervention.…"
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1580
Supplementary file 1_Study on postoperative survival prediction model for non-small cell lung cancer: application of radiomics technology workflow based on multi-organ imaging feat...
منشور في 2025"…The study extracted radiomic features from the tumor, whole lung, and erector spinae muscles of the patients and applied 11 machine learning algorithms to construct prediction models. Subsequently, the classification performance of all constructed models was compared to select the optimal prediction model.…"