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
Parents
12
Evaluating biomarkers for prognostic enrichment of clinical trials
Kathleen F. Kerr, Jeremy Roth, Kehao Zhu et al. · Clinical Trials · 2017 · 37 citations · Full text
1–5 of 12
49
The University of Texas MD Anderson Cancer Center, United States
1 publications · 20 citations
1
h-index
1
h-index
1
h-index
1
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1
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1–5 of 49
23

Johns Hopkins University
Baltimore, United States
2 h-index
3 publications
87 citations
Eye & ENT Hospital of Fudan University
Shanghai, China
1 h-index
1 publications
16 citations
Shanghai Medical Information Center
Shanghai, China
1 h-index
1 publications
16 citations
Columbia University
New York, United States
1 h-index
1 publications
15 citations

Johns Hopkins Medicine
Baltimore, United States
1 h-index
1 publications
33 citations
FC Barcelona
Barcelona, Spain
1 h-index
1 publications
10 citations
National Institutes of Health
Bethesda, United States
1 h-index
1 publications
37 citations
Fudan University
Shanghai, China
1 h-index
3 publications
48 citations
1–8 of 23
1 publications · 27 citations
1
h-index
1 publications · 10 citations
1
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1 publications · 37 citations
1
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1 publications · 20 citations
1
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1 publications · 18 citations
1
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1–5