Phenotype Algorithms

Phenotype Algorithm is a computational method that systematically identifies and classifies observable traits or clinical characteristics of individuals within a cohort by applying defined rules, statistical models, or machine learning techniques to electronic health records, genomic data, or other biomedical datasets.

50

Publications

3.4K

Citations

381

Authors

158

Institutions

Publications per year

2017–2026

29

Variants

Phenotyping Algorithms

Authors

381

  1. JC
    Joshua C. Denny

    Vanderbilt University, United States

    10 publications · 1.4K citations

    10

    h-index

  2. JA
    Jennifer A. Pacheco

    Northwestern University, United States

    10 publications · 1.4K citations

    10

    h-index

  3. LV
    Luke V. Rasmussen

    Northwestern University, United States

    8 publications · 1.1K citations

    8

    h-index

  4. PP
    Peggy Peissig

    Marshfield Clinic, United States

    6 publications · 1K citations

    6

    h-index

  5. JP
    Jyotishman Pathak

    Cornell University, United States

    6 publications · 651 citations

    6

    h-index

1–5 of 381

Venues

  1. Journal of the American Medical Informatics Association

    JAMIA · 8 publications · 1.4K citations

    8

    h-index

  2. PubMed

    Repository · 5 publications · 103 citations

    6

    h-index

  3. Journal of Biomedical Informatics

    4 publications · 130 citations

    4

    h-index

  4. Journal of Computational Chemistry

    2 publications · 323 citations

    2

    h-index

  5. BMJ Open

    1 publications · 24 citations

    2

    h-index

1–5