Natural Language Processing Phenotyping

Natural Language Processing Phenotyping is a computational methodology within biomedical informatics that uses natural language processing techniques to extract and classify phenotypic information from unstructured clinical text for cohort identification.

56

Publications

2.7K

Citations

395

Authors

159

Institutions

Publications per year

2017–2026

45

Variants

Nlp Phenotyping

Authors

395

  1. EW
    Elizabeth W. Karlson

    Brigham and Women's Hospital, United States

    3 publications · 420 citations

    3

    h-index

  2. IS
    Isaac S. Kohane

    Harvard University, United States

    3 publications · 560 citations

    3

    h-index

  3. TC
    Tianxi Cai

    Harvard University, United States

    3 publications · 343 citations

    3

    h-index

  4. SC
    Susanne Churchill

    Mass General Brigham, United States

    3 publications · 560 citations

    3

    h-index

  5. DD
    Dmitriy Dligach

    Loyola University Chicago, United States

    3 publications · 223 citations

    3

    h-index

1–5 of 395

Venues

  1. PubMed

    Repository · 6 publications · 232 citations

    6

    h-index

  2. BMC Medical Informatics and Decision Making

    3 publications · 106 citations

    3

    h-index

  3. Journal of Medical Internet Research

    3 publications · 69 citations

    3

    h-index

  4. Studies in health technology and informatics

    Book series · 3 publications · 100 citations

    3

    h-index

  5. Journal of Biomedical Informatics

    2 publications · 79 citations

    2

    h-index

1–5