Supervised Phenotype Classification
Supervised Phenotype Classification is a supervised machine learning approach within computational phenotyping that learns predictive models from labeled clinical data to assign predefined phenotype labels (such as disease status or clinical traits) to individual patients or patient records.
27
Publications
1K
Citations
219
Authors
126
Institutions
Publications per year
2017–2026
20
Parents
27
Phenotype Classification of Zebrafish Embryos by Supervised Learning
Nathalie Jeanray, Raphaël Marée, Benoist Pruvot et al. · PLoS ONE · 2015 · 67 citations · Full text
Machine learning of functional class from phenotype data
Amanda Clare, Ross D. King · Bioinformatics · 2002 · 67 citations · Full text
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Assistance Publique – Hôpitaux de Paris
Paris, France
2 h-index
5 publications
140 citations
Austrian Academy of Sciences
Vienna, Austria
2 h-index
8 publications
428 citations
Inserm
Paris, France
2 h-index
22 publications
560 citations

Institute of Molecular Biotechnology
Vienna, Austria
2 h-index
8 publications
428 citations
Universidad Complutense de Madrid
Madrid, Spain
2 h-index
4 publications
201 citations
Cleveland Clinic
Cleveland, United States
2 h-index
5 publications
344 citations
Vienna Biocenter
Vienna, Austria
2 h-index
8 publications
428 citations
Chulalongkorn University
Bangkok, Thailand
2 h-index
3 publications
51 citations
1–8 of 126
3 publications · 168 citations
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2 publications · 80 citations
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JAMIA · 2 publications · 52 citations
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1 publications · 51 citations
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1 publications · 82 citations
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