Clinical Document Classification

Clinical Document Classification is a computational method that categorizes clinical documents into predefined classes based on their semantic content, distinguished from other document-level NLP tasks by its focus on medical context and clinical workflow relevance.

209

Publications

11.6K

Citations

972

Authors

329

Institutions

Publications per year

2017–2026

118

Authors

972

  1. AW
    Adam Wilcox

    Columbia University, United States

    4 publications · 183 citations

    4

    h-index

  2. WW
    Wendy W. Chapman

    University of Pittsburgh, United States

    4 publications · 271 citations

    4

    h-index

  3. GH
    George Hripcsak

    Columbia University, United States

    3 publications · 93 citations

    3

    h-index

  4. YL
    Yuan Luo

    Northwestern University, United States

    3 publications · 254 citations

    3

    h-index

  5. PS
    Peter Szolovits

    Massachusetts Institute of Technology, United States

    3 publications · 298 citations

    3

    h-index

1–5 of 972

Venues

  1. Journal of the American Medical Informatics Association

    JAMIA · 22 publications · 1.6K citations

    20

    h-index

  2. PubMed

    Repository · 22 publications · 707 citations

    14

    h-index

  3. Journal of Biomedical Informatics

    14 publications · 937 citations

    13

    h-index

  4. arXiv (Cornell University)

    Repository · 9 publications · 200 citations

    9

    h-index

  5. BMC Medical Informatics and Decision Making

    8 publications · 498 citations

    8

    h-index

1–5