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

Authors

13

  1. SB
    SG Bunch

    Danish Institute of Fire and Security Technology, Denmark

    1 publications · 49 citations

    1

    h-index

  2. SR
    Sharon R. Browning

    University of Washington, United States

    1 publications · 44 citations

    1

    h-index

  3. FS
    F. Samuel Baechtel

    Federal Bureau of Investigation, United States

    1 publications · 10 citations

    1

    h-index

  4. BB
    Bruce Budowle

    University of North Texas, United States

    1 publications · 10 citations

    1

    h-index

  5. MS
    Martin Steinlechner

    Universität Innsbruck, Austria

    1 publications · 45 citations

    1

    h-index

1–5 of 13

Venues

  1. Forensic Science International

    1 publications · 45 citations

    1

    h-index

  2. International Journal of Legal Medicine

    1 publications · 10 citations

    1

    h-index

  3. The Psychological Record

    1 publications · 58 citations

    1

    h-index

  4. Journal of Forensic Sciences

    JOFS · 1 publications · 49 citations

    1

    h-index

  5. The American Journal of Human Genetics

    AJHG · 1 publications · 44 citations

    1

    h-index

1–5