This systematic review synthesizes evidence from 30 studies using machine learning approaches to identify predictors for post-traumatic stress disorder risk. The authors detect underexplored predictors and overlaps in predictors across studies and find an alignment between data-driven results and theory-based models.
- Wivine Blekic
- Fabien D’Hondt
- Katharina Schultebraucks
