Interpretability and fairness evaluation of deep learning models on MIMIC-IV dataset.

Taking the feature importance as x axis and the minimum AUC from subgroups split by protected attributes as y axis, we are expecting to see a decreasing trend, where more important features have a higher possibility to lead to performance divergence in the split subgroups.

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