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Predicting Changes in Depression Severity Using the PSYCHE-D (Prediction of Severity Change-Depression) Model Involving Person-Generated Health Data: Longitudinal Case-Control Observational Study.

Mariko MakhmutovaRaghu KainkaryamMarta FerreiraJae MinMartin JaggiIeuan Clay
Published in: JMIR mHealth and uHealth (2022)
These results demonstrate that low-burden PGHD can be the basis of accurate and timely warnings that an individual's mental health may be deteriorating. We hope this work will serve as a basis for improved engagement and treatment of individuals experiencing depression.
Keyphrases
  • mental health
  • depressive symptoms
  • sleep quality
  • case control
  • healthcare
  • public health
  • physical activity
  • big data
  • risk assessment
  • mass spectrometry
  • artificial intelligence
  • combination therapy