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Use of voice features from smartphones for monitoring depressive disorders: Scoping review.

Jaeeun ShinSung Man Bae
Published in: Digital health (2024)
Smartphone-based voice monitoring offers a promising, noninvasive, and cost-effective approach to depression management. The integration of machine learning with sensor data could significantly enhance mental health monitoring, necessitating further research and longitudinal studies for validation.
Keyphrases
  • mental health
  • machine learning
  • depressive symptoms
  • bipolar disorder
  • artificial intelligence
  • cross sectional
  • sleep quality
  • physical activity
  • stress induced