Deferral Decisions
Deferral Decisions is a machine learning paradigm that characterizes the process by which a model strategically abstains from making a prediction in uncertain or ambiguous instances, instead referring such cases to an external agent or delayed processing to enhance overall system reliability and accuracy.
61
Publications
2.3K
Citations
238
Authors
119
Institutions
Publications per year
2017–2026
15
Variants
Learning With Deferral
Parents
61
Utilization and effectiveness of a hospital autologous preoperative blood donor program
Margot S. Kruskall, E. E. Glazer, Sara Leonard et al. · Transfusion · 1986 · 151 citations
Medicine, Hematology, Surgery +14
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University of California, San Francisco, United States
3 publications · 175 citations
3
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1–5 of 238
119
Canadian Blood Services
Ottawa, Canada
6 h-index
31 publications
797 citations
American Red Cross
Washington, United States
5 h-index
29 publications
1.3K citations
University of California, San Francisco
San Francisco, United States
5 h-index
20 publications
1.1K citations
Westat (United States)
Rockville, United States
4 h-index
35 publications
1.5K citations

University of Ottawa
Ottawa, Canada
4 h-index
15 publications
375 citations
Blood Systems Research Institute
San Francisco, United States
4 h-index
27 publications
1.7K citations
University of Oxford
Oxford, United Kingdom
3 h-index
7 publications
211 citations
Héma-Québec
Montreal, Canada
3 h-index
11 publications
215 citations
1–8 of 119
24 publications · 1K citations
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2 publications · 25 citations
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2 publications · 36 citations
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Repository · 2 publications · 81 citations
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Repository · 1 publications · 10 citations
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