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Showing 61 - 80 results of 1,353 for search '(((( ct values decrease ) OR ( auc values increased ))) OR ( c larger decrease ))', query time: 0.46s Refine Results
  1. 61
    <i>ΔG°</i> and C<sub>1/2</sub> values of various αB-crystallin samples derived from equilibrium urea unfolding analysis.

    <i>ΔG°</i> and C<sub>1/2</sub> values of various αB-crystallin samples derived from equilibrium urea unfolding analysis. by Aref Baharvand (21713886)

    Published 2025
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  2. 62
    Root-mean-square fluctuation (RMSF) analysis of wild-type and p.R163C mutant αB-crystallin dimers from molecular dynamics simulations.

    Root-mean-square fluctuation (RMSF) analysis of wild-type and p.R163C mutant αB-crystallin dimers from molecular dynamics simulations. by Aref Baharvand (21713886)

    Published 2025
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  3. 63
    Diagnostic accuracy calculated on the external validation set of the ML model predicting the risk of developing an AKI during the hospitalization based on data available before and at hospital admission (model: AKI_HOSP_T0). AKI: acute Kidney Injury, ROC: Receiving Operator Curve, PRC: Precision-Recall Curve, AUC: Area Under the Curve, PPV: Positive Predictive Value, NPV: Negative Predictive Value.

    Diagnostic accuracy calculated on the external validation set of the ML model predicting the risk of developing an AKI during the hospitalization based on data available before and... by Lorenzo Ruinelli (13014138)

    Published 2025
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  4. 64
    Performance metrics for nine models in the validation dataset.

    Performance metrics for nine models in the validation dataset. by Ligang Hao (626909)

    Published 2025
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  5. 65
    Procedure of the stacking machine learning model to get the prediction results.

    Procedure of the stacking machine learning model to get the prediction results. by Ligang Hao (626909)

    Published 2025
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  6. 66
    Bar charts of the risk score for each patient in the training cohort.

    Bar charts of the risk score for each patient in the training cohort. by Ligang Hao (626909)

    Published 2025
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  7. 67
    Performance metrics for nine models in the training dataset.

    Performance metrics for nine models in the training dataset. by Ligang Hao (626909)

    Published 2025
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  8. 68
    Receiver operating characteristics (ROC) curves of the nine machine learning models in training and validation sets.

    Receiver operating characteristics (ROC) curves of the nine machine learning models in training and validation sets. by Ligang Hao (626909)

    Published 2025
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  9. 69
    Correlation between mutant forms of EGFR and venous thromboembolism (VTE).

    Correlation between mutant forms of EGFR and venous thromboembolism (VTE). by Ligang Hao (626909)

    Published 2025
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  10. 70
    Multivariable analysis to identify significant factors for VTE in the training set.

    Multivariable analysis to identify significant factors for VTE in the training set. by Ligang Hao (626909)

    Published 2025
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  11. 71
    Clinical characteristics of the patients.

    Clinical characteristics of the patients. by Ligang Hao (626909)

    Published 2025
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  12. 72
    The performance of the stacking machine learning model.

    The performance of the stacking machine learning model. by Ligang Hao (626909)

    Published 2025
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  13. 73
    Velocity distribution at different openings (a) 25%; (b) 50%; (c) 75%; (d) 100%.

    Velocity distribution at different openings (a) 25%; (b) 50%; (c) 75%; (d) 100%. by Weiqing Xu (1279959)

    Published 2024
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  14. 74
    Comparison of clinical characteristics between non-survivors and survivors at 90 days and one-year.

    Comparison of clinical characteristics between non-survivors and survivors at 90 days and one-year. by Shengtao Li (2018101)

    Published 2024
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  15. 75
    Calibration and decision curves for the 90-day and 1-year mortality prediction models in AKI patients.

    Calibration and decision curves for the 90-day and 1-year mortality prediction models in AKI patients. by Shengtao Li (2018101)

    Published 2024
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  16. 76
    Univariate logistic regression analysis of 90-day and one-year mortality risk in AKI patients.

    Univariate logistic regression analysis of 90-day and one-year mortality risk in AKI patients. by Shengtao Li (2018101)

    Published 2024
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  17. 77
    Original data.

    Original data. by Shengtao Li (2018101)

    Published 2024
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  18. 78
    Performance of the 90-day and 1-year mortality prediction models.

    Performance of the 90-day and 1-year mortality prediction models. by Shengtao Li (2018101)

    Published 2024
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  19. 79
    Nomograms for predicting 90-day and 1-year mortality in AKI patients.

    Nomograms for predicting 90-day and 1-year mortality in AKI patients. by Shengtao Li (2018101)

    Published 2024
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  20. 80
    The flow chart of patient’s selection.

    The flow chart of patient’s selection. by Shengtao Li (2018101)

    Published 2024
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