Case Detection Algorithms

Case Detection Algorithms is a computational method designed to systematically identify initial instances of a disease or condition within a population by applying structured rules or models to surveillance data, distinguishing it from general diagnostic tools through its specific focus on early-case recognition for epidemiological investigation.

46

Publications

2.1K

Citations

269

Authors

149

Institutions

Publications per year

2017–2026

16

Authors

269

  1. MA
    Marsha A. Raebel

    Kaiser Permanente, United States

    2 publications · 35 citations

    2

    h-index

  2. SD
    Sylvain DeLisle

    VA Maryland Health Care System, United States

    2 publications · 88 citations

    2

    h-index

  3. MH
    Matthew H. Samore

    University of Utah, United States

    2 publications · 88 citations

    2

    h-index

  4. OY
    Onchee Yu

    University of Washington, United States

    2 publications · 35 citations

    2

    h-index

  5. MM
    Michael M. Wagner

    University of Pittsburgh, United States

    2 publications · 95 citations

    2

    h-index

1–5 of 269

Venues

  1. PLoS ONE

    4 publications · 197 citations

    4

    h-index

  2. BMJ Open

    2 publications · 80 citations

    2

    h-index

  3. Malaria Journal

    2 publications · 81 citations

    2

    h-index

  4. 1

    h-index

  5. Computers in Biology and Medicine

    1 publications · 14 citations

    1

    h-index

1–5