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Digital phenotyping of generalized anxiety disorder: using artificial intelligence to accurately predict symptom severity using wearable sensors in daily life.

Nicholas C JacobsonBrandon Feng
Published in: Translational psychiatry (2022)
These results suggest that artificial intelligence can effectively utilize wearable movement data collected in daily life to accurately infer risk of GAD symptoms.
Keyphrases
  • artificial intelligence
  • big data
  • machine learning
  • deep learning
  • physical activity
  • heart rate
  • high throughput
  • electronic health record
  • single cell