Physical performance strongly predicts all-cause mortality risk in a real-world population of older diabetic patients: machine learning approach for mortality risk stratification.

Abstract

Authors

• Alberto Montesanto
  Department of Biology, Ecology and Earth Sciences, University of Calabria, Rende, Italy.
• Vincenzo Lagani
  3 Gnosis Data Analysis PC, Heraklion, Greece.
• Liana Spazzafumo
  Scientific Direction, IRCCS INRCA, Ancona, Italy.
• Elena Tortato
  Diabetology Unit, IRCCS INRCA, Ancona, Italy.
• Sonia Rosati
  Diabetology Unit, IRCCS INRCA, Ancona, Italy.
• Andrea Corsonello
  Unit of Geriatric Medicine, IRCCS INRCA, Cosenza, Italy.
• Luca Soraci
  Unit of Geriatric Medicine, IRCCS INRCA, Cosenza, Italy.
• Jacopo Sabbatinelli
  Department of Clinical and Molecular Sciences, Università Politecnica delle Marche, Ancona, Italy.
• Antonio Cherubini
  Geriatria, Accettazione geriatrica e Centro di ricerca per l'invecchiamento, IRCCS INRCA, Ancona, Italy.
• Maria Conte
  Department of Medical and Surgical Science, University of Bologna, Bologna, Italy.
• Miriam Capri
  Department of Medical and Surgical Science, University of Bologna, Bologna, Italy.
• Maria Capalbo
  General Direction, IRCCS INRCA, Ancona, Italy.
• Fabrizia Lattanzio
  Laboratorio di Bioinformatica, Bioingegenria e Domotica, Istituto Nazionale di Riposo e Cura per Anziani, Ancona, Italy.
• Fabiola Olivieri
  Department of Clinical and Molecular Sciences, DISCLIMO, Polytechnical University of Marche, 60121 Ancona, Italy.
• Anna Rita Bonfigli
  Scientific Direction, IRCCS INRCA, Ancona, Italy.

Keywords

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