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Teresia M. Perkins

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Open access Aug 2026

Reducing Racial Disparities in Stroke Thrombolysis Using Fairness-Aware Machine Learning.

A fairness-aware machine learning framework using counterfactual adjustment to account for historical inequities embedded in clinical data reduced treatment disparities by 64.8% without compromising predictive accuracy (AUC = 0.89).

J. Kabangu, V. Lopera, Teresia M. Perkins et al. · 0 citations

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