Phenotype Classifier Evaluation

Phenotype Classifier Evaluation is a scholarly methodological framework that systematically assesses the performance, reliability, and generalizability of supervised computational models designed to categorize phenotypic manifestations from biomedical data.

15

Publications

746

Citations

149

Authors

65

Institutions

Publications per year

2017–2026

8

Authors

149

  1. PH
    Péter Horváth

    HUN-REN Szegedi Biológiai Kutatóközpont, Hungary

    1 publications · 92 citations

    1

    h-index

  2. TK
    Tellervo Korhonen

    University of Helsinki, Finland

    1 publications · 186 citations

    1

    h-index

  3. MS
    Mylène Shen

    Université Laval, Canada

    1 publications · 87 citations

    1

    h-index

  4. MS
    Martin Seneviratne

    Stanford University, United States

    1 publications · 25 citations

    1

    h-index

  5. DI
    Diamantis I. Tsilimigras

    The Ohio State University Wexner Medical Center, United States

    1 publications · 30 citations

    1

    h-index

1–5 of 149

Venues

  1. Annals of Surgical Oncology

    1 publications · 30 citations

    1

    h-index

  2. Advances in Bioinformatics

    1 publications · 12 citations

    1

    h-index

  3. Journal of Biomedical Informatics

    1 publications · 27 citations

    1

    h-index

  4. Journal of Medical Systems

    1 publications · 11 citations

    1

    h-index

  5. Cell Biology and Toxicology

    1 publications · 13 citations

    1

    h-index

1–5