Phenotype Algorithm Validation

Phenotype Algorithm Validation is a methodological process that assesses the accuracy, reliability, and generalizability of computational algorithms designed to identify or classify phenotypic traits from biomedical data, ensuring their performance meets predefined scientific standards across diverse populations and data sources.

18

Publications

2K

Citations

170

Authors

57

Institutions

Publications per year

2017–2026

10

Authors

170

  1. JA
    Jennifer A. Pacheco

    Northwestern University, United States

    5 publications · 1.1K citations

    5

    h-index

  2. JC
    Joshua C. Denny

    Vanderbilt University, United States

    5 publications · 1.1K citations

    5

    h-index

  3. LV
    Luke V. Rasmussen

    Northwestern University, United States

    4 publications · 859 citations

    4

    h-index

  4. KP
    Katherine P. Liao

    Brigham and Women's Hospital, United States

    3 publications · 376 citations

    3

    h-index

  5. SN
    Shawn N. Murphy

    Massachusetts General Hospital, United States

    3 publications · 372 citations

    3

    h-index

1–5 of 170

Venues

  1. Journal of the American Medical Informatics Association

    JAMIA · 4 publications · 1.1K citations

    4

    h-index

  2. Journal of Biomedical Informatics

    3 publications · 97 citations

    3

    h-index

  3. Journal of Computational Chemistry

    2 publications · 323 citations

    2

    h-index

  4. Applied Clinical Informatics

    ACI · 1 publications · 16 citations

    1

    h-index

  5. Thrombosis and Haemostasis

    1 publications · 36 citations

    1

    h-index

1–5