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Showing 1 - 20 results of 47 for search '(((("_ largest decrease") OR ("auc values increased"))) OR ("ct values decrease"))', query time: 0.27s Refine Results
  1. 1
    Average change in trust in science by country (n = 10,000).

    Average change in trust in science by country (n = 10,000). by Alain Abi-Rizk (8549358)

    Published 2025
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  2. 2
    Trust change by gender.

    Trust change by gender. by Alain Abi-Rizk (8549358)

    Published 2025
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  3. 3
    Trust change by age group.

    Trust change by age group. by Alain Abi-Rizk (8549358)

    Published 2025
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  4. 4
    Multiple linear regression analysis of trust change predictors.

    Multiple linear regression analysis of trust change predictors. by Alain Abi-Rizk (8549358)

    Published 2025
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  5. 5
    Distribution of individual change in trust in science before and after the pandemic (n = 10,000).

    Distribution of individual change in trust in science before and after the pandemic (n = 10,000). by Alain Abi-Rizk (8549358)

    Published 2025
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  6. 6
    Trust change by education level.

    Trust change by education level. by Alain Abi-Rizk (8549358)

    Published 2025
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  7. 7
    Trust change by source of science information.

    Trust change by source of science information. by Alain Abi-Rizk (8549358)

    Published 2025
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  8. 8
    Post-pandemic trust in science survey.

    Post-pandemic trust in science survey. by Alain Abi-Rizk (8549358)

    Published 2025
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  9. 9
    Trust levels before and after the COVID-19 pandemic (n = 10,000).

    Trust levels before and after the COVID-19 pandemic (n = 10,000). by Alain Abi-Rizk (8549358)

    Published 2025
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  10. 10
    Proportion of Feature Importance.

    Proportion of Feature Importance. by Chunliang Jiang (22477803)

    Published 2025
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  11. 11
    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
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  12. 12
    Definitions of mortality prediction for patients with hypothermia.

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

    Published 2025
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  13. 13
    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
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  14. 14
    Metrics used to evaluate the prediction performance.

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

    Published 2025
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  15. 15
    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
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  16. 16
    Baseline characteristics of included patients.

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

    Published 2025
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  17. 17
    Partitioning into training and testing sets.

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

    Published 2025
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  18. 18
    Process for selection of the study cohort.

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

    Published 2025
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  19. 19
    Appendix DATA: Patient dataset.

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

    Published 2025
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  20. 20
    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
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