Login / Signup

Predicting stress and depressive symptoms using high-resolution smartphone data and sleep behavior in Danish adults.

Thea Otte AndersenAgnete Skovlund DissingElin Rosenbek SeverinsenAndreas Kryger JensenVi Thanh PhamTibor V VargaNaja Hulvej Rod
Published in: Sleep (2022)
Sleep behavior is an important predictor when forecasting mental health symptoms and it outperforms novel approaches using objective and subjective smartphone behavior.
Keyphrases
  • sleep quality
  • depressive symptoms
  • mental health
  • high resolution
  • physical activity
  • social support
  • mass spectrometry
  • electronic health record
  • machine learning
  • deep learning
  • artificial intelligence