Free-text Data Extraction

Free-Text Data Extraction is a computational method in the field of clinical informatics that identifies and structurally organizes relevant clinical information from unstructured narrative text in electronic health records for use in chief complaint surveillance.

380

Publications

16.1K

Citations

2K

Authors

615

Institutions

Publications per year

2017–2026

210

Authors

2K

  1. WW
    Wendy W. Chapman

    University of Pittsburgh, United States

    10 publications · 406 citations

    9

    h-index

  2. BR
    Brett R. South

    University of Utah, United States

    9 publications · 348 citations

    8

    h-index

  3. MH
    Matthew H. Samore

    University of Utah, United States

    8 publications · 317 citations

    8

    h-index

  4. RS
    Robert Stewart

    King's College London, United Kingdom

    7 publications · 881 citations

    7

    h-index

  5. PJ
    Peter J. Haug

    University of Utah, United States

    6 publications · 277 citations

    6

    h-index

1–5 of 2K

Venues

  1. PubMed

    Repository · 51 publications · 1.7K citations

    26

    h-index

  2. Journal of the American Medical Informatics Association

    JAMIA · 21 publications · 1.8K citations

    19

    h-index

  3. Journal of Biomedical Informatics

    17 publications · 959 citations

    16

    h-index

  4. JMIR Medical Informatics

    JMI · 19 publications · 497 citations

    15

    h-index

  5. BMC Medical Informatics and Decision Making

    15 publications · 689 citations

    14

    h-index

1–5