A robust machine learning framework to identify signatures for frailty: a nested case-control study in four aging European cohorts

David Gómez-Cabrero(Navarrabiomed), Timothy C. Hardman, Matteo Cesari(World Health Organization - Pakistan), Matthias Hackl(Mirna Therapeutics (United States)), Daniela Weber(German Institute of Human Nutrition), Catherine Helmer(Inserm), Catherine Féart(École Nationale Supérieure des Sciences Agronomiques de Bordeaux-Aquitaine), Lee Butcher(Cardiff Metropolitan University), Isabelle Carrié(Médipole Garonne), Karine Pérès(Bordeaux Population Health), Jesper Tegnér(Karolinska University Hospital), Marco Colpo(University of Florence), Francesco Cucca(University of Sassari), Imad Abugessaisa(RIKEN Center for Integrative Medical Sciences), Jean‐François Dartigues(Université de Bordeaux), Alan J. Sinclair(Juvenile Diabetes Research Foundation), Harald Mischak(Mosaiques Diagnostics and Therapeutics (Germany)), Jorge D. Erusalimsky(Cardiff Metropolitan University), Irene García‐Palmero(Centro de Investigaciones Biológicas Margarita Salas), Francisco J. García‐García(Instituto de Salud Carlos III), Rebeca Miñambres-Herraiz(Sistemas Genómicos), José Viña(Universitat de València), Lucía Bernad Segarra(Sistemas Genómicos), Johannes Grillari(Institute of Molecular Biotechnology), Giuseppe Lippi(University of Verona), Pidder Jansen‐Dürr(Universität Innsbruck), Gloria Olaso‐González(Universitat de València), Chiara Bonaguri(University of Parma), J. M. Garcı́a, Tilman Grune(University of Vienna), Petra Zürbig(Mosaiques Diagnostics and Therapeutics (Germany)), Stefania Bandinelli(Spanish National Cancer Research Centre), Edoardo Fiorillo(Institute of Genetic and Biomedical Research), Stefan Walter(Universidad Rey Juan Carlos), Leocadio Rodríguez‐Mañas(Instituto de Salud Carlos III), Jose Antonio Carnicero(Complejo Hospitalario Universitario de Toledo)
GeroScience
February 18, 2021
Cited by 58


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