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significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
time increased » rate increased (Expand Search), use increased (Expand Search)
time decrease » sizes decrease (Expand Search), teer decrease (Expand Search), we decrease (Expand Search)
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
time increased » rate increased (Expand Search), use increased (Expand Search)
time decrease » sizes decrease (Expand Search), teer decrease (Expand Search), we decrease (Expand Search)
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2481
MIT-BIH expanded dataset proportion chart.
Published 2025“…Experiments demonstrate that PCA-CGAN not only achieves stable convergence on a large-scale heterogeneous dataset comprising 43 patients for the first time but also resolves the “dilution effect” problem in data augmentation, avoiding the asymmetric phenomenon where Precision increases while Recall decreases. …”
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2482
AUROC Graphs of RF Model and ResNet.
Published 2025“…Experiments demonstrate that PCA-CGAN not only achieves stable convergence on a large-scale heterogeneous dataset comprising 43 patients for the first time but also resolves the “dilution effect” problem in data augmentation, avoiding the asymmetric phenomenon where Precision increases while Recall decreases. …”
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2483
PCA-CGAN Model Workflow Diagram.
Published 2025“…Experiments demonstrate that PCA-CGAN not only achieves stable convergence on a large-scale heterogeneous dataset comprising 43 patients for the first time but also resolves the “dilution effect” problem in data augmentation, avoiding the asymmetric phenomenon where Precision increases while Recall decreases. …”
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2484
Structural Diagrams of RF Model and ResNet Model.
Published 2025“…Experiments demonstrate that PCA-CGAN not only achieves stable convergence on a large-scale heterogeneous dataset comprising 43 patients for the first time but also resolves the “dilution effect” problem in data augmentation, avoiding the asymmetric phenomenon where Precision increases while Recall decreases. …”
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2485
PCA-CGAN model convergence curve.
Published 2025“…Experiments demonstrate that PCA-CGAN not only achieves stable convergence on a large-scale heterogeneous dataset comprising 43 patients for the first time but also resolves the “dilution effect” problem in data augmentation, avoiding the asymmetric phenomenon where Precision increases while Recall decreases. …”
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2486
PCA-CGAN Structure Diagram.
Published 2025“…Experiments demonstrate that PCA-CGAN not only achieves stable convergence on a large-scale heterogeneous dataset comprising 43 patients for the first time but also resolves the “dilution effect” problem in data augmentation, avoiding the asymmetric phenomenon where Precision increases while Recall decreases. …”
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2487
Comparison of Model Five-classification Results.
Published 2025“…Experiments demonstrate that PCA-CGAN not only achieves stable convergence on a large-scale heterogeneous dataset comprising 43 patients for the first time but also resolves the “dilution effect” problem in data augmentation, avoiding the asymmetric phenomenon where Precision increases while Recall decreases. …”
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2488
PCAECG-GAN K-fold experiment table.
Published 2025“…Experiments demonstrate that PCA-CGAN not only achieves stable convergence on a large-scale heterogeneous dataset comprising 43 patients for the first time but also resolves the “dilution effect” problem in data augmentation, avoiding the asymmetric phenomenon where Precision increases while Recall decreases. …”
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2489
PCA-CGAN Pseudocode Table.
Published 2025“…Experiments demonstrate that PCA-CGAN not only achieves stable convergence on a large-scale heterogeneous dataset comprising 43 patients for the first time but also resolves the “dilution effect” problem in data augmentation, avoiding the asymmetric phenomenon where Precision increases while Recall decreases. …”
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2490
PCA-CGAN Ablation Experiment Results.
Published 2025“…Experiments demonstrate that PCA-CGAN not only achieves stable convergence on a large-scale heterogeneous dataset comprising 43 patients for the first time but also resolves the “dilution effect” problem in data augmentation, avoiding the asymmetric phenomenon where Precision increases while Recall decreases. …”
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2491
interrupted time series analysis: Monthly Median Time to Treatment Initiation.
Published 2025Subjects: -
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2493
Alterations in hematological parameters induced by dimethoate after 90 days.
Published 2025Subjects: -
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2495
Comparison of Analgesic Consumption by WHO Analgesic Level Between 2023 and 2022.
Published 2025Subjects: -
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2500