Net benefit, calibration, threshold selection, and training objectives for algorithmic fairness in healthcare

Stephen Pfohl, Yizhe Xu, Agata Foryciarz, Nikolaos Ignatiadis, Julian Genkins, Nigam Shah. Net benefit, calibration, threshold selection, and training objectives for algorithmic fairness in healthcare. In FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21 - 24, 2022. pages 1039-1052, ACM, 2022. [doi]

Abstract

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