Exploring determinant factors influencing muscle quality and sarcopenia in Bilbao's older adult population through machine learning: A comprehensive analysis approach.

Journal: PloS one
PMID:

Abstract

BACKGROUND: Sarcopenia and reduced muscle quality index have garnered special attention due to their prevalence among older individuals and the adverse effects they generate. Early detection of these geriatric pathologies holds significant potential, enabling the implementation of interventions that may slow or reverse their progression, thereby improving the individual's overall health and quality of life. In this context, artificial intelligence opens up new opportunities to identify the key identifying factors of these pathologies, thus facilitating earlier intervention and personalized treatment approaches.

Authors

  • Naiara Virto
    eVida Research Lab, Faculty of Engineering, University of Deusto, Deusto, Spain.
  • Danielle Marie Dequin
    eVida Research Lab, Faculty of Engineering, University of Deusto, Deusto, Spain.
  • Xabier Río
    Department of Physical Activity and Sport Sciences, Faculty of Education and Sport, University of Deusto, Deusto, Spain.
  • Amaia Méndez-Zorrilla
    eVida Research Lab, Faculty of Engineering, University of Deusto, Deusto, Spain.
  • Begoña García-Zapirain
    eVida Research Lab, Faculty of Engineering, University of Deusto, Deusto, Spain.