Automated Case Finding

Automated Case Finding is a computational method within cancer registry systems that identifies and extracts potential cancer cases from electronic health data sources through algorithmic processing, distinguishing it from manual or passive case ascertainment techniques by its reliance on automated data screening and classification.

37

Publications

1.6K

Citations

207

Authors

103

Institutions

Publications per year

2017–2026

6

Authors

207

  1. PP
    Philip P. Breitfeld

    Duke Medical Center, United States

    3 publications · 77 citations

    3

    h-index

  2. SH
    Siu Hui

    Indiana University – Purdue University Indianapolis, United States

    3 publications · 77 citations

    3

    h-index

  3. GF
    Gregory F. Cooper

    University of Pittsburgh, United States

    2 publications · 35 citations

    2

    h-index

  4. OY
    Onchee Yu

    University of Washington, United States

    2 publications · 35 citations

    2

    h-index

  5. MB
    Marc B. Rosenman

    Indiana University – Purdue University Indianapolis, United States

    2 publications · 62 citations

    2

    h-index

1–5 of 207

Venues

  1. PubMed

    Repository · 2 publications · 26 citations

    2

    h-index

  2. Journal of Pediatric Hematology/Oncology

    2 publications · 62 citations

    2

    h-index

  3. Journal of Clinical Epidemiology

    2 publications · 30 citations

    2

    h-index

  4. BMC Medical Informatics and Decision Making

    2 publications · 64 citations

    2

    h-index

  5. Tubercle and Lung Disease

    1 publications · 41 citations

    1

    h-index

1–5