Phenotype Algorithm Portability

Phenotype Algorithm Portability is the capacity of a computational method designed to identify patient phenotypes from electronic health records to maintain consistent performance and validity when applied across diverse healthcare settings, data environments, or populations without requiring substantial redesign.

7

Publications

394

Citations

87

Authors

31

Institutions

Publications per year

2017–2026

6

Publications

7

1–5 of 7

Authors

87

  1. JA
    Jennifer A. Pacheco

    Northwestern University, United States

    6 publications · 383 citations

    6

    h-index

  2. LV
    Luke V. Rasmussen

    Northwestern University, United States

    5 publications · 135 citations

    5

    h-index

  3. VS
    Vivian S. Gainer

    Mass General Brigham, United States

    4 publications · 344 citations

    4

    h-index

  4. SN
    Shawn N. Murphy

    Massachusetts General Hospital, United States

    3 publications · 305 citations

    3

    h-index

  5. NS
    Ning Shang

    Columbia University, United States

    3 publications · 96 citations

    3

    h-index

1–5 of 87

Venues

  1. Journal of the American Medical Informatics Association

    JAMIA · 2 publications · 287 citations

    2

    h-index

  2. PubMed

    Repository · 1 publications · 23 citations

    1

    h-index

  3. Journal of Medical Systems

    1 publications · 11 citations

    1

    h-index

  4. Scientific Reports

    1 publications · 24 citations

    1

    h-index

  5. Journal of Biomedical Informatics

    1 publications · 33 citations

    1

    h-index

1–5