Portable Phenotyping Models

Portable Phenotyping Models is a computational framework in biomedical informatics that enables the derivation of patient phenotypes from electronic health records in a manner generalizable across diverse healthcare settings and data environments through standardized, reusable, and transportable algorithmic components.

7

Publications

526

Citations

51

Authors

26

Institutions

Publications per year

2017–2026

6

Authors

51

  1. LV
    Luke V. Rasmussen

    Northwestern University, United States

    3 publications · 100 citations

    3

    h-index

  2. JA
    Jennifer A. Pacheco

    Northwestern University, United States

    2 publications · 52 citations

    2

    h-index

  3. JP
    Jyotishman Pathak

    Cornell University, United States

    2 publications · 161 citations

    2

    h-index

  4. VĆ
    Vasa Ćurčin

    King's College London, United Kingdom

    2 publications · 52 citations

    2

    h-index

  5. MC
    Martin Chapman

    King's College London, United Kingdom

    2 publications · 52 citations

    2

    h-index

1–5 of 51

Venues

  1. medRxiv

    Repository · 1 publications · 16 citations

    1

    h-index

  2. GigaScience

    1 publications · 36 citations

    1

    h-index

  3. The Plant Genome

    1 publications · 267 citations

    1

    h-index

  4. Journal of Biomedical Informatics

    1 publications · 29 citations

    1

    h-index

  5. BMC Medical Informatics and Decision Making

    1 publications · 48 citations

    1

    h-index

1–5