The Association Between Actigraphy-Derived Behavioral Clusters and Self-Reported Fatigue in Persons With Multiple Sclerosis: Cross-sectional Study.

Published in: JMIR rehabilitation and assistive technologies (2022)

Cluster analysis data proved to be feasible to meaningfully differentiate between different behavioral syndromes. Self-reports reflected the different behavioral syndromes strongly. Testing of additional domains (eg, volition or processing speed) and assessments during everyday life seem warranted to better understand the origins of reported fatigue symptomatology.

Keyphrases

multiple sclerosis
sleep quality
electronic health record
big data
emergency department
machine learning
white matter
physical activity
depressive symptoms
artificial intelligence