EJ Salamander Jardas

Leveraging Machine Learning to Personalize Depression Treatment: A Preregistered Study of 828 Adults Randomly Assigned to a Digital Single-Session Intervention or Waitlist

Some digital single-session interventions (SSI) for depression appear effective, at least in youths, but not everyone benefits. In the present study, we use machine-learning methods to develop a treatment-matching algorithm for a digital SSI, the Common Elements Toolbox (COMET),...