Showing 161 - 180 results of 52,356 for search '(( significantly increased decrease ) OR ( significant predictor errors ))', query time: 0.86s Refine Results
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    The mean absolute SHAP values for all predictors. by Ali Golestani (4651399)

    Published 2025
    “…This study aimed to utilize interpretable ML models to predict the occurrence of errors in road accident hotspots using telematics data in Iran and interpret the most influential predictors.…”
  5. 165

    SHAP beeswarm summary plot of all predictors. by Ali Golestani (4651399)

    Published 2025
    “…This study aimed to utilize interpretable ML models to predict the occurrence of errors in road accident hotspots using telematics data in Iran and interpret the most influential predictors.…”
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    Pain intensity amplification with either increases or decreases are independent of temperature but are correlated with each other. by Benedict J. Alter (9745466)

    Published 2020
    “…No correlation exists between stimulus intensity (heat pain threshold (A or C) or T1 stimulus temperature used (B or D)) and pain intensity modulation during the t3 period by either preceding noxious temperature decreases (OS Min-T1) or increases (Inv Max-T2). Although an inverse correlation between onset hyperalgesia and offset analgesia does not achieve statistical significance when comparing local extrema (E), a significant inverse correlation is detected using within-stimulus change (F).…”
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    AMPs are increased in lesional HS, but DCD and other sweat-gland associated proteins are decreased. by Margaret Coates (6058580)

    Published 2019
    “…<p>(A) Volcano plot showing increased or decreased genes in HS. Graph shows log FC in gene expression of HS lesional skin over HS non-lesional skin samples plotted against negative log p-value of the difference in gene expression. …”
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    Decrease of injuries. by Petr Fulin (8380320)

    Published 2022
    “…The p value indicates the statistical significance of the decrease. Negative values indicate an increase in the number of inpatients. …”
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