Search alternatives:
values increased » cases increased (Expand Search), dalys increased (Expand Search), also increased (Expand Search)
values decrease » largest decrease (Expand Search)
ct values » _ values (Expand Search), i values (Expand Search)
values increased » cases increased (Expand Search), dalys increased (Expand Search), also increased (Expand Search)
values decrease » largest decrease (Expand Search)
ct values » _ values (Expand Search), i values (Expand Search)
-
201
Ablation study of DeepGAM.
Published 2025“…For diagnosing depression, there has been increasing attention on estimating depression status from personal medical data. …”
-
202
Performance comparisons on public data (cancer).
Published 2025“…For diagnosing depression, there has been increasing attention on estimating depression status from personal medical data. …”
-
203
ROC curve visualization.
Published 2025“…For diagnosing depression, there has been increasing attention on estimating depression status from personal medical data. …”
-
204
-
205
-
206
Linear regression analysis.
Published 2025“…</p><p> Methods </p><p>CT images were acquired from consecutive 40 patients who received HTRT or RT alone for metastatic abdominal lymph nodes. …”
-
207
Patient characteristics.
Published 2025“…</p><p> Methods </p><p>CT images were acquired from consecutive 40 patients who received HTRT or RT alone for metastatic abdominal lymph nodes. …”
-
208
-
209
-
210
-
211
-
212
pNGAL performance at optimal cutoff values.
Published 2025“…At these conditions the AUC for pNGAL to predict AKI was 85% giving an optimal cutoff of 142.5 ng/mL with a negative predictive value of 0.96, a positive predictive value of 0.35, a specificity of 0.87 and a sensitivity of 0.70.…”
-
213
-
214
Research flowchart.
Published 2024“…Nine pertinent evaluation factors were identified, and the RF-BP neural network coupling model was employed to assess the susceptibility of ground collapse and subsidence in the study area, the results indicate that the stacked model achieved a 7% increase in AUC value compared to the single model. …”
-
215
APH assessment result.
Published 2024“…Nine pertinent evaluation factors were identified, and the RF-BP neural network coupling model was employed to assess the susceptibility of ground collapse and subsidence in the study area, the results indicate that the stacked model achieved a 7% increase in AUC value compared to the single model. …”
-
216
Evaluation factors information.
Published 2024“…Nine pertinent evaluation factors were identified, and the RF-BP neural network coupling model was employed to assess the susceptibility of ground collapse and subsidence in the study area, the results indicate that the stacked model achieved a 7% increase in AUC value compared to the single model. …”
-
217
Location of the study area.
Published 2024“…Nine pertinent evaluation factors were identified, and the RF-BP neural network coupling model was employed to assess the susceptibility of ground collapse and subsidence in the study area, the results indicate that the stacked model achieved a 7% increase in AUC value compared to the single model. …”
-
218
The mean absolute SHAP values for all predictors.
Published 2025“…While machine learning (ML) has been increasingly used to predict RTAs, the lack of interpretability limits its applicability in policymaking. …”
-
219
-
220