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Predicting Social Anxiety From Global Positioning System Traces of College Students: Feasibility Study.

Mehdi BoukhechbaPhilip I ChowKarl Cheng-Heng FuaBethany A TeachmanLaura E Barnes
Published in: JMIR mental health (2018)
Results indicate that extracting and analyzing mobility features may help to reveal how social anxiety symptoms manifest in the daily lives of college students. Given the ubiquity of mobile phones in our society, understanding how to leverage passively sensed data has strong potential to address the growing needs for mental health monitoring and treatment.
Keyphrases
  • mental health
  • sleep quality
  • healthcare
  • physical activity
  • electronic health record
  • genome wide
  • big data
  • dna methylation
  • combination therapy
  • artificial intelligence