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Mobile Phone-Based Unobtrusive Ecological Momentary Assessment of Day-to-Day Mood: An Explorative Study.

Joost AsselbergsJeroen RuwaardMichal EjdysNiels SchraderMarit SijbrandijHeleen Riper
Published in: Journal of medical Internet research (2016)
Mobile phone-based unobtrusive EMA is a technically feasible and potentially powerful EMA variant. The method is young and positive findings may not replicate. At present, we do not recommend the application of FSR-based mood prediction in real-world clinical settings. Further psychometric studies and more advanced data mining techniques are needed to unlock unobtrusive EMA's true potential.
Keyphrases
  • bipolar disorder
  • sleep quality
  • human health
  • climate change
  • big data
  • depressive symptoms
  • middle aged
  • case control