World Trade Center responders in their own words: predicting PTSD symptom trajectories with AI-based language analyses of interviews

BACKGROUND: Oral histories from 9/11 responders to the World Trade Center (WTC) attacks provide rich narratives about distress and resilience. Artificial Intelligence (AI) models promise to detect psychopathology in natural language, but they have been evaluated primarily in non-clinical settings us...

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Detalles Bibliográficos
Autores principales: Son, Youngseo, Clouston, Sean A. P., Kotov, Roman, Eichstaedt, Johannes C., Bromet, Evelyn J., Luft, Benjamin J., Schwartz, H. Andrew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8692489/
https://www.ncbi.nlm.nih.gov/pubmed/34154682
http://dx.doi.org/10.1017/S0033291721002294

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8692489/
https://www.ncbi.nlm.nih.gov/pubmed/34154682
http://dx.doi.org/10.1017/S0033291721002294

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