Natural Language Processing Phenotype Validation

Natural Language Processing Phenotype Validation is a computational methodology that belongs to the class of phenotype validation techniques, specifically distinguished by its use of natural language processing to extract, interpret, and verify phenotypic information from unstructured clinical or biomedical text.

6

Publications

152

Citations

62

Authors

15

Institutions

Publications per year

2017–2026

5

Publications

6

1–5 of 6

Authors

62

  1. WL
    Wilson Luiz da Costa

    AC Camargo Hospital, Brazil

    1 publications · 23 citations

    1

    h-index

  2. MS
    Manuel Stapleton Garcia de Vasconcelos Lobo

    University of Lisbon, Portugal

    1 publications · 30 citations

    1

    h-index

  3. FJ
    Francisco J. Nóvoa

    Hospital Universitario Insular de Gran Canaria, Spain

    1 publications · 23 citations

    1

    h-index

  4. RM
    Robert M. Plenge

    Harvard University, United States

    1 publications · 21 citations

    1

    h-index

  5. RM
    Rayna Marshall

    Royal Berkshire Hospital, United Kingdom

    1 publications · 19 citations

    1

    h-index

1–5 of 62

Venues

  1. Journal of the American College of Cardiology

    JACC · 1 publications · 21 citations

    1

    h-index

  2. Ocular Immunology and Inflammation

    1 publications · 19 citations

    1

    h-index

  3. Journal of Medical Internet Research

    1 publications · 47 citations

    1

    h-index

  4. Research and Practice in Thrombosis and Haemostasis

    RPTH · 1 publications · 23 citations

    1

    h-index

  5. BMJ Open

    1 publications · 12 citations

    1

    h-index

1–5