Screening Threshold Optimization

Screening Threshold Optimization is a methodological framework within watchlist screening systems that determines the optimal threshold values for matching algorithms to balance the trade-off between false positives and false negatives, thereby enhancing the accuracy and efficiency of identity screening processes.

12

Publications

273

Citations

49

Authors

23

Institutions

Publications per year

2017–2026

5

Authors

49

  1. TG
    Tina Garyantes

    The University of Texas MD Anderson Cancer Center, United States

    1 publications · 20 citations

    1

    h-index

  2. SF
    Samuel Feldman

    Medical University of South Carolina, United States

    1 publications · 18 citations

    1

    h-index

  3. PC
    Pascal Collette

    Galderma (France), France

    1 publications · 20 citations

    1

    h-index

  4. XZ
    Xiaohong Zhou

    Ocean University of China, China

    1 publications · 16 citations

    1

    h-index

  5. HT
    Heather Thiessen‐Philbrook

    Yale University, United States

    1 publications · 37 citations

    1

    h-index

1–5 of 49

Venues

  1. Ophthalmology

    1 publications · 27 citations

    1

    h-index

  2. Statistics in Medicine

    1 publications · 10 citations

    1

    h-index

  3. Clinical Trials

    1 publications · 37 citations

    1

    h-index

  4. SLAS DISCOVERY

    1 publications · 20 citations

    1

    h-index

  5. 1

    h-index

1–5