Author

Ricardo C. Berrios

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Review Open access Jul 2026

A framework for assessing algorithmic discrimination risks in training data: a case of pediatric type 1 diabetes

A generalizable framework for identifying algorithmic discrimination risks arising from subgroup imbalances in machine learning training data, with relevance to medical informatics applications where heterogeneous real-world data can bias model behavior is introduced.

I. Bilionis, Ricardo C. Berrios, A. de Arriba Muñoz et al. · JAMIA Open · 0 citations