A Robust Machine Learning Framework to Identify Signatures for Frailty: a Nested Case-Control Study in Four Aging European Cohorts
Gomez-Cabrero David,Walter Stefan,Abugessaisa Imad,Miñambres-Herraiz Rebeca, Palomares Lucia Bernad,Butcher Lee,Erusalimsky Jorge D.,Garcia-Garcia Francisco Jose,Carnicero José,Hardman Timothy C.,Mischak Harald,Zürbig Petra,Hackl Matthias,Grillari Johannes,Fiorillo Edoardo,Cucca Francesco,Cesari Matteo,Carrie Isabelle,Colpo Marco,Bandinelli Stefania,Feart Catherine,Peres Karine,Dartigues Jean-François,Helmer Catherine,Viña José,Olaso Gloria, García-Palmero Irene,Martínez Jorge García,Jansen-Dürr Pidder,Grune Tilman,Weber Daniela,Lippi Giuseppe,Bonaguri Chiara,Sinclair Alan J, King Abdullah University of Science and Technology, Getafe University Hospital GeroScience（2021）
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Frailty,Biomarkers,Omics,Clinical phenotype,Disability
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