Phenotype Extraction

Phenotype Extraction is a computational method in Electronic Health Record Analytics that identifies and classifies observable patient characteristics or clinical traits from structured and unstructured EHR data to support clinical research and decision-making.

119

Publications

7.4K

Citations

844

Authors

206

Institutions

Publications per year

2017–2026

78

Authors

844

  1. JC
    Joshua C. Denny

    Vanderbilt University, United States

    12 publications · 977 citations

    12

    h-index

  2. JP
    Jyotishman Pathak

    Cornell University, United States

    11 publications · 499 citations

    11

    h-index

  3. JA
    Jennifer A. Pacheco

    Northwestern University, United States

    10 publications · 737 citations

    10

    h-index

  4. LV
    Luke V. Rasmussen

    Northwestern University, United States

    8 publications · 426 citations

    8

    h-index

  5. SN
    Shawn N. Murphy

    Massachusetts General Hospital, United States

    7 publications · 613 citations

    7

    h-index

1–5 of 844

Venues

  1. Journal of Biomedical Informatics

    12 publications · 727 citations

    12

    h-index

  2. Journal of the American Medical Informatics Association

    JAMIA · 11 publications · 1.1K citations

    11

    h-index

  3. PubMed

    Repository · 9 publications · 329 citations

    9

    h-index

  4. JAMIA Open

    3 publications · 84 citations

    4

    h-index

  5. medRxiv

    Repository · 3 publications · 73 citations

    3

    h-index

1–5