Clinical Relation Extraction

Clinical Relation Extraction is a natural language processing task that identifies and classifies semantic relationships between clinical entities within medical text, distinguishing it from general relation extraction by its focus on domain-specific biomedical or patient-related concepts and contexts.

128

Publications

7.5K

Citations

463

Authors

171

Institutions

Publications per year

2017–2026

93

Authors

463

  1. JB
    Jiang Bian

    University of Florida, United States

    8 publications · 1.3K citations

    8

    h-index

  2. XY
    Xi Yang

    University of Florida, United States

    8 publications · 1.2K citations

    8

    h-index

  3. YW
    Yonghui Wu

    Google (United States), United States

    8 publications · 1.2K citations

    8

    h-index

  4. GS
    Guergana Savova

    Harvard University, United States

    6 publications · 232 citations

    6

    h-index

  5. WR
    William R. Hogan

    University of Florida, United States

    6 publications · 1.2K citations

    6

    h-index

1–5 of 463

Venues

  1. Journal of the American Medical Informatics Association

    JAMIA · 16 publications · 2.4K citations

    15

    h-index

  2. Journal of Biomedical Informatics

    9 publications · 576 citations

    9

    h-index

  3. arXiv (Cornell University)

    Repository · 9 publications · 337 citations

    9

    h-index

  4. PubMed

    Repository · 7 publications · 320 citations

    8

    h-index

  5. BMC Medical Informatics and Decision Making

    6 publications · 199 citations

    6

    h-index

1–5