Concepedia

Electronic Phenotype Extraction

Electronic Phenotype Extraction is a computational method that identifies and classifies patient-level clinical characteristics from electronic health record data using structured and unstructured information to define specific disease cohorts or traits.

30

Publications

2.4K

Citations

198

Authors

68

Institutions

Publications per year

2017–2026

14

Variants

E-phenotyping

Parents

Publications

30

Using Electronic Patient Records to Discover Disease Correlations and Stratify Patient Cohorts

Francisco S. Roque, Peter Bjødstrup Jensen, Henriette Schmock et al. · PLoS Computational Biology · 2011 · 285 citations · Full text

, , +17

Extracting research-quality phenotypes from electronic health records to support precision medicine

Wei‐Qi Wei, Joshua C. Denny · Genome Medicine · 2015 · 266 citations · Full text

, , +16

Portability of an algorithm to identify rheumatoid arthritis in electronic health records

Robert J. Carroll, Will K Thompson, Anne E. Eyler et al. · Journal of the American Medical Informatics Association · 2012 · 248 citations · Full text

, , +15

Semi-supervised learning of the electronic health record for phenotype stratification

Brett K. Beaulieu‐Jones, Casey S. Greene · Journal of Biomedical Informatics · 2016 · 198 citations · Full text

, , +17

Subtyping: What It is and Its Role in Precision Medicine

Suchi Saria, Anna Goldenberg · IEEE Intelligent Systems · 2015 · 135 citations

, , +17

1–5 of 30

Authors

198

  1. JC
    Joshua C. Denny

    Vanderbilt University, United States

    7 publications · 850 citations

    7

    h-index

  2. HL
    Hongfang Liu

    Mayo Clinic in Florida, United States

    4 publications · 265 citations

    4

    h-index

  3. VS
    Vivian S. Gainer

    Mass General Brigham, United States

    4 publications · 434 citations

    4

    h-index

  4. TC
    Tianxi Cai

    Harvard University, United States

    3 publications · 402 citations

    3

    h-index

  5. AN
    Ashwin N. Ananthakrishnan

    Massachusetts General Hospital, United States

    3 publications · 186 citations

    3

    h-index

1–5 of 198

Institutions

68

  1. Vanderbilt University

    Nashville, United States

    7 h-index

    22 publications

    3.1K citations

  2. Mass General Brigham

    Boston, United States

    4 h-index

    16 publications

    1.5K citations

  3. Massachusetts General Hospital

    Boston, United States

    4 h-index

    10 publications

    874 citations

  4. Northwestern University

    Evanston, United States

    4 h-index

    14 publications

    2K citations

  5. Harvard University

    Cambridge, United States

    3 h-index

    16 publications

    1.6K citations

  6. University of Pennsylvania

    Philadelphia, United States

    3 h-index

    6 publications

    540 citations

  7. Mayo Clinic in Arizona

    Scottsdale, United States

    3 h-index

    9 publications

    543 citations

  8. Mayo Clinic in Florida

    Jacksonville, United States

    3 h-index

    15 publications

    977 citations

1–8 of 68

Venues

  1. Journal of Biomedical Informatics

    5 publications · 409 citations

    5

    h-index

  2. Journal of the American Medical Informatics Association

    JAMIA · 3 publications · 423 citations

    3

    h-index

  3. PubMed

    Repository · 2 publications · 130 citations

    2

    h-index

  4. JAMIA Open

    2 publications · 58 citations

    2

    h-index

  5. Clinical Journal of the American Society of Nephrology

    CJASN · 1 publications · 62 citations

    1

    h-index

1–5