Forecasting Subjective Cognitive Decline: AI Approach Using Dynamic Bayesian Networks.

Journal: Journal of medical Internet research
PMID: 40327854

Abstract

BACKGROUND: Several potentially modifiable risk factors are associated with subjective cognitive decline (SCD). However, developmental patterns of these risk factors have not been used before to forecast later SCD. Practical tools for the prevention of cognitive decline are needed.

Authors

  • Antti Etholén
    Department of Public Health, University of Helsinki, Helsinki, Finland.
  • Teemu Roos
    Department of Computer Science, University of Helsinki, Helsinki, Finland.
  • Mirja Hänninen
    Department of Public Health, University of Helsinki, Helsinki, Finland.
  • Ioanna Bouri
    Department of Computer Science, University of Helsinki, Helsinki, Finland.
  • Jenni Kulmala
    Faculty of Social Sciences (Health Sciences) and Gerontology Research Center (GEREC), Tampere University, Tampere, Finland.
  • Ossi Rahkonen
    Department of Public Health, University of Helsinki, Helsinki, Finland.
  • Anne Kouvonen
    Faculty of Social Sciences, University of Helsinki, Helsinki, Finland.
  • Tea Lallukka
    Department of Public Health, University of Helsinki, Helsinki, Finland.

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