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Tracking and Predicting Depressive Symptoms of Adolescents Using Smartphone-Based Self-Reports, Parental Evaluations, and Passive Phone Sensor Data: Development and Usability Study.

Jian CaoAnh Lan TruongSophia BanuAsim A ShahAshutosh SabharwalNidal Moukaddam
Published in: JMIR mental health (2020)
Smartphone apps such as SOLVD represent a useful way to monitor depressive symptoms in clinically depressed adolescents, and these apps correlate well with current gold-standard psychometric instruments. This is a first study of its kind that was conducted on the adolescent population, and it included inputs from both teens and their parents as observers. The results are preliminary because of the small sample size, and we plan to expand the study to a larger population.
Keyphrases
  • depressive symptoms
  • young adults
  • physical activity
  • electronic health record
  • machine learning
  • emergency department
  • drug induced