A Machine-Learning-Driven Pathophysiology-Based New Approach Method for the Dose-Dependent Assessment of Hazardous Chemical Mixtures and Experimental Validations.

Toxics · 2024 · PMC11281031 · PMID 39058133

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an increasing trendno p-value reported

An increasing trend indicates that the CPTM is more effective at identifying toxic chemicals among those with higher Z scores.

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highly significantno p-value reported

The increase in specificity was highly significant for both the RF and bagging models.

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