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Refocusing Algorithmic Fairness on Feature-Level Bias: A Diagnostic Approach Using Dutch EHR Data

2025-11-11

Abstract excerpt

While algorithmic fairness research in healthcare has predominantly focused on disparities in model performance, less attention has been given to the underlying data structures that may drive such disparities. High-level fairness metrics often obscure the deeper feature-level dynamics necessary for a critical and context-aware assessment of fairness. To address this gap, we propose and apply a diagnostic framework...

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Literature Corpus work
5d5b6bed-654b-5bbc-b16a-7c13ffd2025f
DOI
10.1101/2025.11.09.25339863
Open publication

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Refocusing Algorithmic Fairness on Feature-Level Bias: A Diagnostic Approach Using Dutch EHR DataDOI 10.1101/2025.11.09.25339863
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