most citedWorld Trade Center responders in their own words: Predicting PTSD symptom trajectories with AI-based language analyses of interviews

8 citations · 8 across the 1 of their papers we have counts for

collaborators

1 paper

cs.CL2020★ 8 cited

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

Youngseo Son, Sean A. P. Clouston, Roman Kotov +4

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 p…