
INPUT OF DEEP PHENOTYPING IN THE METABOLIC SYNDROME STRATIFICATION
Author(s) -
Stéphanie Monnerie,
Mélanie Pétéra,
Cécile Canlet,
Florence Castelli,
Benoît Colsch,
François Fenaille,
Charlotte Joly,
Fabien Jourdan,
Natacha Lenuzza,
Bernard Lyan,
Jean-François Martin,
Carole Migné,
José A. Morais,
Nathalie Poupin,
Florence Vinson,
Etienne Thévenot,
Christophe Junot,
Pierrette Gaudreau,
Blandine Comte,
Estelle PujosGuillot
Publication year - 2020
Publication title -
hal (le centre pour la communication scientifique directe)
Language(s) - English
Resource type - Conference proceedings
Subject(s) - context (archaeology) , feature selection , personalized medicine , computer science , metabolic syndrome , workflow , medicine , artificial intelligence , machine learning , computational biology , bioinformatics , biology , obesity , paleontology , database