A robust machine learning framework to identify signatures for frailty: a nested case-control study in four aging European cohorts
David Gómez-Cabrero, Stefan Walter, Imad Abugessaisa, Rebeca Miñambres-Herraiz, Lucía Bernad Segarra, Lee Butcher, Jorge D. Erusalimsky, Francisco J. García‐García, Jose Antonio Carnicero, Timothy C. Hardman, Harald Mischak, Petra Zürbig, Matthias Hackl, Johannes Grillari, Edoardo Fiorillo, Francesco Cucca, Matteo Cesari, Isabelle Carrié, Marco Colpo, Stefania Bandinelli, Catherine Féart, Karine Pérès, Jean‐François Dartigues, Catherine Helmer, José Viña, Gloria Olaso‐González, Irene García‐Palmero, J. M. Garcı́a, Pidder Jansen‐Dürr, Tilman Grune, Daniela Weber, Giuseppe Lippi, Chiara Bonaguri, Alan J. Sinclair, Jesper Tegnér, Leocadio Rodríguez‐Mañas, on behalf of the FRAILOMIC initiative
Topics & Concepts
BiomarkerMedicineInternal medicineVitamin D and neurologyOmicsBioinformaticsGerontologyOncologyBiologyGeneticsFrailty in Older AdultsNutrition and Health in AgingHealth Systems, Economic Evaluations, Quality of Life