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
14
1–5 of 14
67
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34
Universidade Federal de São Carlos
São Carlos, Brazil
1 h-index
2 publications
20 citations

Brigham and Women's Hospital
Boston, United States
1 h-index
1 publications
121 citations
Département mathématiques, informatique, sciences de la donnée et technologies du numérique
Castanet-Tolosan, France
1 h-index
1 publications
131 citations
Laboratoire Jacques-Louis Lions
Paris, France
1 h-index
1 publications
131 citations
University of California, Irvine
Irvine, United States
1 h-index
1 publications
27 citations
Boston Children's Museum
Boston, United States
1 h-index
1 publications
121 citations
Texas A&M Health Science Center
College Station, United States
1 h-index
1 publications
12 citations
Centre de Mathématiques Appliquées de l'École polytechnique
Palaiseau, France
1 h-index
1 publications
131 citations
1–8 of 34
2 publications · 57 citations
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1 publications · 10 citations
1
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1 publications · 22 citations
1
h-index
1 publications · 14 citations
1
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1 publications · 27 citations
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