Fairness Analysis

Fairness Analysis is a systematic evaluation method within electronic health record analytics that identifies and quantifies biases in algorithmic outputs to ensure equitable performance across diverse demographic or clinical subgroups.

332

Publications

27.2K

Citations

1.2K

Authors

522

Institutions

Publications per year

2017–2026

207

Authors

1.2K

  1. SS
    Susanna‐Assunta Sansone

    University of Oxford, United Kingdom

    5 publications · 198 citations

    5

    h-index

  2. YN
    Yale N. Patt

    The University of Texas at Austin, United States

    4 publications · 487 citations

    4

    h-index

  3. AA
    Abolfazl Asudeh

    University of Illinois Chicago, United States

    4 publications · 89 citations

    4

    h-index

  4. OM
    Onur Mutlu

    Carnegie Mellon University, United States

    4 publications · 487 citations

    4

    h-index

  5. JW
    Judy Wawira Gichoya

    Emory University, United States

    4 publications · 487 citations

    4

    h-index

1–5 of 1.2K

Venues

  1. arXiv (Cornell University)

    Repository · 24 publications · 839 citations

    15

    h-index

  2. 5

    h-index

  3. Scientific Reports

    5 publications · 272 citations

    5

    h-index

  4. Nature Communications

    4 publications · 336 citations

    4

    h-index

  5. BMJ Health & Care Informatics

    4 publications · 183 citations

    4

    h-index

1–5