Fiche publication
Date publication
août 2022
Journal
Nutrition, metabolism, and cardiovascular diseases : NMCD
Auteurs
Membres identifiés du Cancéropôle Est :
Pr ZERHOUNI Noureddine
Tous les auteurs :
Benmohammed K, Valensi P, Omri N, Al Masry Z, Zerhouni N
Lien Pubmed
Résumé
Metabolic syndrome (MetS) definitions in adolescents based on the percentiles of its components are rather complicated to use in clinical practice. The aim of this study was to test the validity of artificial intelligence (AI)-based scores (AI_METS) that do not use these percentiles for MetS screening for adolescents.
Mots clés
Adolescent, Artificial intelligence, Cardiometabolic risk factors, Metabolic syndrome
Référence
Nutr Metab Cardiovasc Dis. 2022 08 12;:
