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Perceived usefulness of digital self-tracking among people with multiple sclerosis.

Lasse SkovgaardJosephine Lyngh SteenbergMarie Lynning
Published in: Digital health (2024)
The results of the present study indicate that the self-tracking of symptoms, sleep, physical activity and other measures may contribute positively to everyday self-management among PwMS. Professional support in interpreting and acting upon the data should be considered.
Keyphrases
  • physical activity
  • multiple sclerosis
  • sleep quality
  • depressive symptoms
  • body mass index
  • social support
  • electronic health record
  • big data
  • white matter
  • machine learning
  • artificial intelligence