Instance level analysis of equitable learning via dissimilar variable grouping on healthcare datasets.
Machine learning models are increasingly deployed in healthcare, but their complexity can propagate biases and obscure decision-making that disproportionately affect vulnerable populations. While existing explainability methods focus on variable-level attribution, they often fail to capture how predictions and explanat...