March 3, 2026Open Access

Mitigating Disparities in Prostate Cancer Survival Prediction Through Fairness‐Aware Machine Learning Models

Key Points

Improved survival prediction reduces racial disparities in prostate cancer treatment outcomes.
The fairness-aware models demonstrate significant advances in addressing equity issues across demographics.
Evaluation of these models indicates their applicability to broader time-to-event survival predictions.
Integrating fairness into cancer prediction models may enable more equitable healthcare practices.

Abstract

We benchmark two fairness-aware survival models that address racial disparities in post-prostatectomy survival prediction. These methods can be extended to other time-to-event models to ensure equitable care supported by fair prediction models.

Mitigating Disparities in Prostate Cancer Survival Prediction Through Fairness‐Aware Machine Learning Models

Key Points

Abstract

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