Cargando…
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...
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: | |
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 |
Ejemplares similares
-
Handgrip Strength of World Trade Center (WTC) Responders: The Role of Re-Experiencing Posttraumatic Stress Disorder (PTSD) Symptoms
por: Mukherjee, Soumyadeep, et al.
Publicado: (2019) -
PTSD is associated with accelerated transcriptional aging in World Trade Center responders
por: Kuan, Pei-Fen, et al.
Publicado: (2021) -
Gene expression associated with PTSD in World Trade Center responders: An RNA sequencing study
por: Kuan, Pei-Fen, et al.
Publicado: (2017) -
Metabolomics analysis of post-traumatic stress disorder symptoms in World Trade Center responders
por: Kuan, Pei-Fen, et al.
Publicado: (2022) -
Molecular linkage between post-traumatic stress disorder and cognitive impairment: a targeted proteomics study of World Trade Center responders
por: Kuan, Pei-Fen, et al.
Publicado: (2020)