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Published in 2022 at "Frontiers in Nutrition"
DOI: 10.3389/fnut.2022.871768
Abstract: Background SHapley Additive exPlanations (SHAP) based on tree-based machine learning methods have been proposed to interpret interactions between exposures in observational studies, but their performance in realistic simulations is seldom evaluated. Methods Data from population-based…
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Keywords:
interaction;
orm orw;
realistic simulation;
shap values ... See more keywords