Can machine learning predict PTSD symptoms from trauma narratives of children and adolescents?

ABSTRACT: Background: Machine learning approaches are being increasingly tested as a potential means of identifying mental health conditions. Narrative features of trauma memories are proposed to play a significant role in the development of post-traumatic stress disorder (PTSD), meaning that trauma narratives provide an excellent context in which to test machine learning capabilities. The potential for children's trauma narratives to predict post-traumatic stress remains particularly poorly studied. Here, we tested whether the application of machine learning to trauma narrative characteristics can predict PTSD symptoms in young individuals exposed to trauma.Study methodology: Two pre-trained large language models and two benchmark models were fine-tuned and trained to predict PTSD sym

SUBMITTER: Giuliani A 

PROVIDER: S-EPMC12673981 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature