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Speech-based markers for posttraumatic stress disorder in US veterans.

Charles R MarmarAdam D BrownMeng QianEugene LaskaCarole SiegelMeng LiDuna Abu-AmaraAndreas TsiartasColleen RicheyJennifer SmithBruce KnothDimitra Vergyri
Published in: Depression and anxiety (2019)
This study demonstrates that a speech-based algorithm can objectively differentiate PTSD cases from controls. The RF classifier had a high AUC. Further validation in an independent sample and appraisal of the classifier to identify those with MDD only compared with those with PTSD comorbid with MDD is required.
Keyphrases
  • posttraumatic stress disorder
  • major depressive disorder
  • machine learning
  • physical activity
  • bipolar disorder
  • social support