Symptom Segmentation

Symptom Segmentation is a methodological framework in clinical informatics that identifies and delineates discrete symptomatic components from continuous patient-reported narratives or multimodal health data to enable precise phenotyping and temporal analysis of disease manifestations.

11

Publications

316

Citations

34

Authors

21

Institutions

Publications per year

2017–2026

9

Authors

34

  1. NS
    Natalia Sapoukhina

    Institut Agro Rennes-Angers, France

    1 publications · 18 citations

    1

    h-index

  2. HX
    Hua Xu

    The University of Texas Health Science Center at Houston, United States

    1 publications · 27 citations

    1

    h-index

  3. HL
    Haodan Li

    Med Data Quest (United States), United States

    1 publications · 28 citations

    1

    h-index

  4. KL
    Kim Luyckx

    University of Antwerp, Belgium

    1 publications · 26 citations

    1

    h-index

  5. ST
    Stéphan Tulkens

    University of Antwerp, Belgium

    1 publications · 26 citations

    1

    h-index

1–5 of 34

Venues

  1. Journal of Biomedical Informatics

    4 publications · 116 citations

    4

    h-index

  2. European Journal of Plant Pathology

    1 publications · 92 citations

    1

    h-index

  3. Frontiers in Plant Science

    1 publications · 18 citations

    1

    h-index

  4. Educational Psychology

    1 publications · 11 citations

    1

    h-index

  5. Information Fusion

    1 publications · 12 citations

1–5