Postoperative Complication Identification

Postoperative Complication Identification is a scholarly contribution in the field of clinical informatics that systematically detects and classifies adverse events occurring after surgical intervention through data-driven methods, distinguishing it from broader complication identification by its exclusive focus on the postoperative phase.

327

Publications

18.3K

Citations

2K

Authors

647

Institutions

Publications per year

2017–2026

138

Authors

2K

  1. CP
    Christopher P. Ames

    University of California, San Francisco, United States

    4 publications · 566 citations

    4

    h-index

  2. WG
    William G. Henderson

    University of Colorado Denver, United States

    3 publications · 569 citations

    3

    h-index

  3. ZB
    Zorica Buser

    University of Southern California, United States

    3 publications · 124 citations

    3

    h-index

  4. GG
    Gilaad G. Kaplan

    University of Calgary, Canada

    3 publications · 111 citations

    3

    h-index

  5. LI
    Lisa I. Iezzoni

    Harvard University, United States

    3 publications · 871 citations

    3

    h-index

1–5 of 2K

Venues

  1. PubMed

    Repository · 18 publications · 679 citations

    14

    h-index

  2. Annals of Surgery

    12 publications · 847 citations

    11

    h-index

  3. Spine

    10 publications · 453 citations

    10

    h-index

  4. Plastic & Reconstructive Surgery

    6 publications · 373 citations

    6

    h-index

  5. Medical Care

    6 publications · 1.1K citations

    6

    h-index

1–5