World Trade Center responders in their own words: predicting PTSD symptom trajectories with AI-based...
World Trade Center responders in their own words: predicting PTSD symptom trajectories with AI-based language analyses of interviews
About this item
Full title
Author / Creator
Publisher
Cambridge, UK: Cambridge University Press
Journal title
Language
English
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Publisher
Cambridge, UK: Cambridge University Press
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Scope and Contents
Contents
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 using social media. This study sought to test the ability of AI-...
Alternative Titles
Full title
World Trade Center responders in their own words: predicting PTSD symptom trajectories with AI-based language analyses of interviews
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Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8692489
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8692489
Other Identifiers
ISSN
0033-2917,1469-8978
E-ISSN
1469-8978
DOI
10.1017/S0033291721002294
