Search alternatives:
"auc values increased" » "auc cases increased" (Expand Search), "auc also increased" (Expand Search), "auc rate increased" (Expand Search)
"c large decrease" » "c marked decrease" (Expand Search), "c large increases" (Expand Search), "c large degree" (Expand Search), "a large decrease" (Expand Search), "i large decrease" (Expand Search), "b large decrease" (Expand Search)
"_ large decrease" » "_ marked decrease" (Expand Search), "_ large increases" (Expand Search), "_ large degree" (Expand Search)
Showing 1 - 20 results of 132 for search '(("auc values increased") OR ((("c large decrease") OR ("_ large decrease"))))', query time: 0.41s Refine Results
  1. 1
    Proportion of Feature Importance.

    Proportion of Feature Importance. by Chunliang Jiang (22477803)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  2. 2
    Identification results of four algorithms on test sets for different feature subsets.

    Identification results of four algorithms on test sets for different feature subsets. by Chunliang Jiang (22477803)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  3. 3
    Definitions of mortality prediction for patients with hypothermia.

    Definitions of mortality prediction for patients with hypothermia. by Chunliang Jiang (22477803)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  4. 4
    Trends for average AUC for (A) different prediction window and (B) different observation window for each model.

    Trends for average AUC for (A) different prediction window and (B) different observation window for each model. by Chunliang Jiang (22477803)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  5. 5
    Metrics used to evaluate the prediction performance.

    Metrics used to evaluate the prediction performance. by Chunliang Jiang (22477803)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  6. 6
    Feature selection results for (A) Random Forest, (B) Logistic Regression, (C) XGBoost, and (D) Naïve Bayes.

    Feature selection results for (A) Random Forest, (B) Logistic Regression, (C) XGBoost, and (D) Naïve Bayes. by Chunliang Jiang (22477803)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  7. 7
    Baseline characteristics of included patients.

    Baseline characteristics of included patients. by Chunliang Jiang (22477803)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  8. 8
    Partitioning into training and testing sets.

    Partitioning into training and testing sets. by Chunliang Jiang (22477803)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  9. 9
    Process for selection of the study cohort.

    Process for selection of the study cohort. by Chunliang Jiang (22477803)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  10. 10
    Appendix DATA: Patient dataset.

    Appendix DATA: Patient dataset. by Chunliang Jiang (22477803)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  11. 11
    Trends in AUC values for different observation windows and prediction windows for (A) Random Forest, (B) Logistic Regression, (C) XGBoost, and (D) Naïve Bayes four machine learning methods.

    Trends in AUC values for different observation windows and prediction windows for (A) Random Forest, (B) Logistic Regression, (C) XGBoost, and (D) Naïve Bayes four machine learning... by Chunliang Jiang (22477803)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  12. 12
    Non-invasive physiological parameters included in the study.

    Non-invasive physiological parameters included in the study. by Chunliang Jiang (22477803)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  13. 13
    Overall process of mortality prediction in patients with hypothermia.

    Overall process of mortality prediction in patients with hypothermia. by Chunliang Jiang (22477803)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  14. 14
    Triple B←N Lewis Pair-Functionalized Triazatruxenes with Large Stokes Shifts

    Triple B←N Lewis Pair-Functionalized Triazatruxenes with Large Stokes Shifts by Yufeng Zhang (195768)

    Published 2023
    Subjects:
    Save to List
    Saved in:
  15. 15
    Rape-related symptoms in adolescents: short- and long-term outcome after cognitive behavior group therapy

    Rape-related symptoms in adolescents: short- and long-term outcome after cognitive behavior group therapy by Iva Bicanic (14339079)

    Published 2023
    Subjects:
    Save to List
    Saved in:
  16. 16
    Sodium levels in Canadian restaurant menu items compared to UK National Salt Reduction Initiative (NSRI) targets by UK NSRI food category.

    Sodium levels in Canadian restaurant menu items compared to UK National Salt Reduction Initiative (NSRI) targets by UK NSRI food category. by Caroline G. Middleton (22041479)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  17. 17
    Changes in sodium levels, serving sizes, and calories in matched restaurant menu items (2016–2020) by sodium reduction or increase.

    Changes in sodium levels, serving sizes, and calories in matched restaurant menu items (2016–2020) by sodium reduction or increase. by Caroline G. Middleton (22041479)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  18. 18
    Sodium level changes in matched restaurant menu items (2016–2020) by UK NSRI food category.

    Sodium level changes in matched restaurant menu items (2016–2020) by UK NSRI food category. by Caroline G. Middleton (22041479)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  19. 19
    Near-Infrared-Absorbing B–N Lewis Pair-Functionalized Anthracenes: Electronic Structure Tuning, Conformational Isomerism, and Applications in Photothermal Cancer Therapy

    Near-Infrared-Absorbing B–N Lewis Pair-Functionalized Anthracenes: Electronic Structure Tuning, Conformational Isomerism, and Applications in Photothermal Cancer Therapy by Kanglei Liu (1992742)

    Published 2022
    Subjects:
    Save to List
    Saved in:
  20. 20
    Sodium levels (mg/100 g) in matched restaurant menu items in 2016 and 2020 by UK NSRI food categories with ≥ 10 items.

    Sodium levels (mg/100 g) in matched restaurant menu items in 2016 and 2020 by UK NSRI food categories with ≥ 10 items. by Caroline G. Middleton (22041479)

    Published 2025
    Subjects:
    Save to List
    Saved in:

Search Tools: