Phenotype Variable Selection

Phenotype Variable Selection is a feature engineering method that identifies and retains the most relevant variables from phenotypic data to improve model performance, interpretability, and generalizability in biomedical and clinical prediction tasks.

14

Publications

855

Citations

67

Authors

34

Institutions

Publications per year

2017–2026

5

Authors

67

  1. SC
    Samuel Crofts

    The University of Melbourne, Australia

    1 publications · 15 citations

    1

    h-index

  2. SM
    Samuel Müller

    The University of Sydney, Australia

    1 publications · 12 citations

    1

    h-index

  3. JM
    Joan M. Stoler

    Boston Children's Hospital, United States

    1 publications · 121 citations

    1

    h-index

  4. SH
    Sean H. Adams

    University of California, Davis, United States

    1 publications · 12 citations

    1

    h-index

  5. JA
    Jill A. Madden

    Boston Children's Hospital, United States

    1 publications · 121 citations

    1

    h-index

1–5 of 67

Venues

  1. 2

    h-index

  2. REVISTA BRASILEIRA DE BIOMETRIA

    1 publications · 10 citations

    1

    h-index

  3. Bird Study

    1 publications · 22 citations

    1

    h-index

  4. Soft Computing

    1 publications · 14 citations

    1

    h-index

  5. Biology & Philosophy

    1 publications · 27 citations

    1

    h-index

1–5