Algorithmic Case Identification

Algorithmic Case Identification is a computational method within case reporting systems that automates the detection and classification of cases by applying predefined rules or machine learning models to structured or unstructured data, distinguishing it from manual or heuristic approaches through its systematic and scalable processing of evidence.

7

Publications

559

Citations

78

Authors

54

Institutions

Publications per year

2017–2026

3

Authors

78

  1. CL
    Céline Louapre

    Sorbonne Université, France

    1 publications · 19 citations

    1

    h-index

  2. JG
    Joann G. Elmore

    University of Washington, United States

    1 publications · 21 citations

    1

    h-index

  3. CJ
    Craig J. Newschaffer

    Drexel University, United States

    1 publications · 121 citations

    1

    h-index

  4. MG
    Marine Gross‐Goupil

    Institut Gustave Roussy, France

    1 publications · 19 citations

    1

    h-index

  5. BD
    Byong Duk Ye

    University of Ulsan, South Korea

    1 publications · 71 citations

    1

    h-index

1–5 of 78

Venues

  1. Autism

    1 publications · 121 citations

    1

    h-index

  2. BMC Medical Research Methodology

    1 publications · 19 citations

    1

    h-index

  3. PubMed

    Repository · 1 publications · 21 citations

    1

    h-index

  4. Decision Analytics Journal

    1 publications · 16 citations

    1

    h-index

  5. The Canadian Journal of Psychiatry

    CJP · 1 publications · 201 citations

    1

    h-index

1–5