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Digital Phenotyping for Mood Disorders: Methodology-Oriented Pilot Feasibility Study.

Scott BreitingerManuel Gardea-ResendezCarsten LangholmAshley XiongJoseph LaivellCynthia StoppelLaura HarperRama VoletyAlex WalkerRyan D'MelloAndrew Jin Soo ByunPeter P ZandiFernando S GoesMark FryeJohn B Torous
Published in: Journal of medical Internet research (2023)
Digital phenotyping in affective disorders is feasible on both Android and iOS smartphones, and the resulting data quality using an open-source platform is higher than that in comparable studies. While the digital phenotyping data quality was independent of gender and race, the reported demographic features of study participants revealed important information on possible selection biases that may result from naturalistic research in this domain. We believe that the methodology described will be readily reproducible and generalizable to other study settings and patient populations given our data on deployment at 2 unique sites.
Keyphrases
  • high throughput
  • big data
  • bipolar disorder
  • randomized controlled trial
  • mental health
  • healthcare
  • single cell
  • quality improvement
  • physical activity
  • health information
  • sleep quality