De-identification

De-Identification is a data protection method that belongs to the class of privacy-preserving techniques, specifically characterized by the removal or transformation of personally identifiable information from datasets to prevent direct identification of individuals, while enabling data utility for secondary uses such as research or analysis.

273

Publications

18.7K

Citations

1K

Authors

409

Institutions

Publications per year

2017–2026

143

Authors

1K

  1. BM
    Bradley Malin

    Vanderbilt University, United States

    11 publications · 646 citations

    11

    h-index

  2. KE
    Khaled El Emam

    University of Ottawa, Canada

    8 publications · 684 citations

    8

    h-index

  3. JA
    John Aberdeen

    Mitre (United States), United States

    5 publications · 266 citations

    5

    h-index

  4. LH
    Lynette Hirschman

    Mitre (United States), United States

    5 publications · 266 citations

    5

    h-index

  5. WX
    Weiyi Xia

    Vanderbilt University, United States

    4 publications · 145 citations

    4

    h-index

1–5 of 1K

Venues

  1. Journal of the American Medical Informatics Association

    JAMIA · 16 publications · 3.1K citations

    16

    h-index

  2. PubMed

    Repository · 13 publications · 371 citations

    12

    h-index

  3. BMC Medical Informatics and Decision Making

    9 publications · 1.1K citations

    10

    h-index

  4. Studies in health technology and informatics

    Book series · 9 publications · 166 citations

    9

    h-index

  5. Journal of Biomedical Informatics

    9 publications · 618 citations

    9

    h-index

1–5