Deterministic Data Matching

Deterministic Data Matching is a data linkage method that identifies and merges records from different datasets by applying exact or rule-based comparisons of specific identifier fields to establish matches without probabilistic inference.

19

Publications

1.5K

Citations

77

Authors

42

Institutions

Publications per year

2017–2026

4

Variants

Deterministic Record Linkage

Authors

77

  1. NT
    Nan Tang

    Tsinghua University, China

    2 publications · 180 citations

    2

    h-index

  2. WY
    Wenyuan Yu

    University of Edinburgh, United Kingdom

    2 publications · 180 citations

    2

    h-index

  3. WF
    Wenfei Fan

    University of Edinburgh, United Kingdom

    2 publications · 180 citations

    2

    h-index

  4. SM
    Shuai Ma

    Beihang University, China

    2 publications · 180 citations

    2

    h-index

  5. CD
    Craig D. Newgard

    Oregon Health & Science University, United States

    2 publications · 132 citations

    2

    h-index

1–5 of 77

Venues

  1. Academic Emergency Medicine

    AEM · 2 publications · 132 citations

    2

    h-index

  2. Public Health Reports

    PHR · 2 publications · 65 citations

    2

    h-index

  3. Methods of Information in Medicine

    2 publications · 83 citations

    2

    h-index

  4. JMIR Public Health and Surveillance

    1 publications · 29 citations

    1

    h-index

  5. BMC Medical Research Methodology

    1 publications · 102 citations

    1

    h-index

1–5