This commentary examines algorithmic fairness in oncology from technical and normative perspectives, and discusses major statistical definitions of fairness, including demographic parity, calibration, and equalized odds; and highlights the inherent trade-offs among these metrics.
A. Srinivasan, D. Sritharan, S. Aneja et al.· JNCI Cancer Spectrum· 1 citation
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.