Showing 201 - 220 results of 1,029 for search '(( auc values increased ) OR ( ct values decrease ))', query time: 0.34s Refine Results
  1. 201

    Ablation study of DeepGAM. by Chiyoung Lee (11782395)

    Published 2025
    “…For diagnosing depression, there has been increasing attention on estimating depression status from personal medical data. …”
  2. 202

    Performance comparisons on public data (cancer). by Chiyoung Lee (11782395)

    Published 2025
    “…For diagnosing depression, there has been increasing attention on estimating depression status from personal medical data. …”
  3. 203

    ROC curve visualization. by Chiyoung Lee (11782395)

    Published 2025
    “…For diagnosing depression, there has been increasing attention on estimating depression status from personal medical data. …”
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    Linear regression analysis. by Young Kyu Lee (14076058)

    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. …”
  7. 207

    Patient characteristics. by Young Kyu Lee (14076058)

    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. …”
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    pNGAL performance at optimal cutoff values. by Vicky Jenny Rebecka Wetterstrand (20542428)

    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.…”
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    Research flowchart. by Bofan Yu (9282920)

    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. …”
  15. 215

    APH assessment result. by Bofan Yu (9282920)

    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. …”
  16. 216

    Evaluation factors information. by Bofan Yu (9282920)

    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. …”
  17. 217

    Location of the study area. by Bofan Yu (9282920)

    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. …”
  18. 218

    The mean absolute SHAP values for all predictors. by Ali Golestani (4651399)

    Published 2025
    “…While machine learning (ML) has been increasingly used to predict RTAs, the lack of interpretability limits its applicability in policymaking. …”
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