FAIM: Fairness-aware interpretable modeling for trustworthy machine learning in healthcare
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The escalating integration of machine learning in high-stakes fields such as healthcare raises substantial concerns about model fairness. We propose an interpretable framework, fairness-aware interpretable modeling (FAIM), to improve model fairness without com... ...
