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Specifically, we evaluated the weighted sum of accuracy and RPPS, with the weight ranging from 0 to 1, that is, w(Accuracy)+(1−w)RPPS,
where w is the prespecified weight between 0 and 1. Notably, when the weight is 1, this weighted sum simplifies to accuracy; conversely, when the weight is 0, it becomes the RPPS. This approach enables model selection according to the trade-off between predictive performance and fairness.
JMIR Med Inform 2025;13:e66200
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