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"Net benefit, calibration, threshold selection, and training objectives for ..."

Stephen R. Pfohl et al. (2022)

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DOI: —

access: open

type: Informal or Other Publication

metadata version: 2022-02-10

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  - electronic edition @ arxiv.org (open access)
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  dblp key:
  - journals/corr/abs-2202-01906
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  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2202-01906
Stephen R. Pfohl, Yizhe Xu, Agata Foryciarz, Nikolaos Ignatiadis, Julian Genkins, Nigam H. Shah:
Net benefit, calibration, threshold selection, and training objectives for algorithmic fairness in healthcare. CoRR abs/2202.01906 (2022)

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