Probabilistic Identity Scoring
Probabilistic Identity Scoring is a methodological framework within patient identity matching that assigns a likelihood score to the potential match between two patient records based on the statistical analysis of shared attributes, distinguishing itself from deterministic approaches by quantifying uncertainty and accommodating partial or inexact correspondences.
5
Publications
206
Citations
13
Authors
10
Institutions
Publications per year
2017–2026
1
Parents
5
Consecutive Matching Striation Criteria: A General Critique
SG Bunch · Journal of Forensic Sciences · 2000 · 49 citations
Social Sciences, Criminology, Crime +13
1–5 of 5
13
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10
Universidade Federal do Pará
Belém, Brazil
1 h-index
2 publications
116 citations

Universität Innsbruck
Innsbruck, Austria
1 h-index
4 publications
180 citations
University of Massachusetts Chan Medical School
Worcester, United States
1 h-index
1 publications
58 citations

Innsbruck Medical University
Innsbruck, Austria
1 h-index
4 publications
180 citations
University of Washington
Seattle, United States
1 h-index
2 publications
88 citations

University of Cincinnati
Cincinnati, United States
1 h-index
1 publications
10 citations
Eunice Kennedy Shriver Center
Worcester, United States
1 h-index
1 publications
58 citations
Danish Institute of Fire and Security Technology
Hvidovre, Denmark
1 h-index
1 publications
49 citations
1–8 of 10
1 publications · 45 citations
1
h-index
1 publications · 10 citations
1
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1 publications · 58 citations
1
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JOFS · 1 publications · 49 citations
1
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AJHG · 1 publications · 44 citations
1
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1–5