Login / Signup

Gaining Insights Into the Estimation of the Circadian Rhythms of Social Activity in Older Adults From Their Telephone Call Activity With Statistical Learning: Observational Study.

Timothée AubourgJacques DemongeotVuillerme Nicolas
Published in: Journal of medical Internet research (2021)
These findings support the potential of phone technologies and statistical learning approaches to automatically provide personalized and precise information on the social rhythms of telephone call activity of older individuals. Futures studies could integrate such digital insights with other sources of data to complete assessments of the circadian rhythms of activity in elderly populations.
Keyphrases
  • healthcare
  • mental health
  • middle aged
  • drinking water
  • electronic health record
  • machine learning
  • artificial intelligence
  • deep learning
  • data analysis