Computable Phenotypes

Computable Phenotype is a formally defined, machine-executable representation of a phenotypic trait or condition that enables consistent identification and classification of individuals in clinical or research settings through algorithmic processing of structured health data.

60

Publications

2.2K

Citations

632

Authors

266

Institutions

Publications per year

2017–2026

52

Variants

Computable Phenotype

Authors

632

  1. JB
    Jiang Bian

    University of Florida, United States

    5 publications · 88 citations

    5

    h-index

  2. LV
    Luke V. Rasmussen

    Northwestern University, United States

    5 publications · 242 citations

    5

    h-index

  3. JA
    Jennifer A. Pacheco

    Northwestern University, United States

    5 publications · 242 citations

    5

    h-index

  4. ES
    Elizabeth Shenkman

    University of Florida, United States

    4 publications · 64 citations

    4

    h-index

  5. MH
    Melissa Haendel

    Oregon Health & Science University, United States

    4 publications · 346 citations

    4

    h-index

1–5 of 632

Venues

  1. Journal of the American Medical Informatics Association

    JAMIA · 9 publications · 401 citations

    9

    h-index

  2. JMIR Medical Informatics

    JMI · 5 publications · 124 citations

    5

    h-index

  3. medRxiv

    Repository · 3 publications · 44 citations

    3

    h-index

  4. BMC Medical Informatics and Decision Making

    2 publications · 69 citations

    2

    h-index

  5. Pharmacology Research & Perspectives

    PRP · 2 publications · 38 citations

    2

    h-index

1–5