Predicting restriction of life-space mobility: a machine learning analysis of the IMIAS study.

Journal: Aging clinical and experimental research
PMID: 36070079

Abstract

BACKGROUND: Some studies have employed machine learning (ML) methods for mobility prediction modeling in older adults. ML methods could be a helpful tool for life-space mobility (LSM) data analysis.

Authors

  • Manuel Pérez-Trujillo
    Departamento de Informática y Computación, Facultad de Administración, Grupo GAIA, Universidad Nacional de Colombia, Manizales, Colombia.
  • Carmen-Lucía Curcio
    Research Group in Geriatrics and Gerontology, Faculty of Health Sciences, Universidad de Caldas, Manizales, Colombia. carmen.curcio@ucaldas.edu.co.
  • Néstor Duque-Méndez
    Departamento de Informática y Computación, Facultad de Administración, Grupo GAIA, Universidad Nacional de Colombia, Manizales, Colombia.
  • Alejandra Delgado
    Research Group in Geriatrics and Gerontology, Faculty of Health Sciences, Universidad de Caldas, Manizales, Colombia.
  • Laura Cano
    Research Group in Geriatrics and Gerontology, Faculty of Health Sciences, Universidad de Caldas, Manizales, Colombia.
  • Fernando Gomez
    Research Group in Geriatrics and Gerontology, Faculty of Health Sciences, Universidad de Caldas, Manizales, Colombia.

Keywords

External Resources

Popular Topics
Recent Journals