Search alternatives:
largest decrease » larger decrease (Expand Search), marked decrease (Expand Search)
latest decrease » greatest decrease (Expand Search), largest decreases (Expand Search), latency decreased (Expand Search)
shap decrease » step decrease (Expand Search), small decrease (Expand Search), mean decrease (Expand Search)
teer decrease » mean decrease (Expand Search), greater decrease (Expand Search)
largest decrease » larger decrease (Expand Search), marked decrease (Expand Search)
latest decrease » greatest decrease (Expand Search), largest decreases (Expand Search), latency decreased (Expand Search)
shap decrease » step decrease (Expand Search), small decrease (Expand Search), mean decrease (Expand Search)
teer decrease » mean decrease (Expand Search), greater decrease (Expand Search)
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SHAP waterfall plot.
Published 2025“…Across 10 models, CatBoost performed best on the test set (AUC = 0.970, accuracy = 0.920, F1 = 0.918), with robust calibration and decision-curve net benefit. SHAP interpretation ranked eGDR among the most influential predictors: SHAP summary and dependence plots indicated that higher eGDR decreased the model’s predicted probability of frailty. …”
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SHAP decision plot.
Published 2025“…Across 10 models, CatBoost performed best on the test set (AUC = 0.970, accuracy = 0.920, F1 = 0.918), with robust calibration and decision-curve net benefit. SHAP interpretation ranked eGDR among the most influential predictors: SHAP summary and dependence plots indicated that higher eGDR decreased the model’s predicted probability of frailty. …”
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SHAP dependence plots.
Published 2025“…Across 10 models, CatBoost performed best on the test set (AUC = 0.970, accuracy = 0.920, F1 = 0.918), with robust calibration and decision-curve net benefit. SHAP interpretation ranked eGDR among the most influential predictors: SHAP summary and dependence plots indicated that higher eGDR decreased the model’s predicted probability of frailty. …”
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SHAP dependence plots with interaction coloring.
Published 2025“…Across 10 models, CatBoost performed best on the test set (AUC = 0.970, accuracy = 0.920, F1 = 0.918), with robust calibration and decision-curve net benefit. SHAP interpretation ranked eGDR among the most influential predictors: SHAP summary and dependence plots indicated that higher eGDR decreased the model’s predicted probability of frailty. …”
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Data Sheet 1_Validation of an MPS-based intestinal cell culture model for the evaluation of drug-induced toxicity.docx
Published 2025“…Overall, from the 23 tested compounds, 15 showed the expected outcome, i.e., the compound led to a decrease of the TEER for the positive control compounds, or the TEER value remained stable after treatment with non-GI-toxic compounds.…”
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