Showing 601 - 620 results of 2,767 for search '(( significant decrease decrease ) OR ( significance ((mean decrease) OR (a decrease)) ))~', query time: 0.37s Refine Results
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    Characteristics of JIA patients. by Yasmine Makhlouf (17409866)

    Published 2025
    “…Twelve studies published between 2003 and 2018 were analyzed, encompassing 1513 patients with a mean age of 11.4 years. Tumor necrosis factor alpha inhibitors were the predominant biologic agents used (75.8%), with a mean follow-up duration of 2 years post-biologic therapy initiation. …”
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    List of excluded articles. by Yasmine Makhlouf (17409866)

    Published 2025
    “…Twelve studies published between 2003 and 2018 were analyzed, encompassing 1513 patients with a mean age of 11.4 years. Tumor necrosis factor alpha inhibitors were the predominant biologic agents used (75.8%), with a mean follow-up duration of 2 years post-biologic therapy initiation. …”
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    Assessment values of machine learning models. by Bin Pan (742525)

    Published 2025
    “…The prediction results indicate that the StackBoost model excels in predicting aqueous solubility, achieving a coefficient of determination () of 0.90, a root mean square error (RMSE) of 0.29, and a mean absolute error (MAE) of 0.22, significantly outperforming the other comparative models. …”
  11. 611

    List of datasets in AqSolDB. by Bin Pan (742525)

    Published 2025
    “…The prediction results indicate that the StackBoost model excels in predicting aqueous solubility, achieving a coefficient of determination () of 0.90, a root mean square error (RMSE) of 0.29, and a mean absolute error (MAE) of 0.22, significantly outperforming the other comparative models. …”
  12. 612

    Feature importance derived from SHAP analysis. by Bin Pan (742525)

    Published 2025
    “…The prediction results indicate that the StackBoost model excels in predicting aqueous solubility, achieving a coefficient of determination () of 0.90, a root mean square error (RMSE) of 0.29, and a mean absolute error (MAE) of 0.22, significantly outperforming the other comparative models. …”
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