9 citations · 33 across the 11 of their papers we have counts for
3 papers · 2 filters
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…
Detecting Emerging Symptoms of COVID-19 using Context-based Twitter Embeddings
Roshan Santosh, H. Andrew Schwartz, Johannes C. Eichstaedt +2
In this paper, we present an iterative graph-based approach for the detection of symptoms of COVID-19, the pathology of which seems to be evolving. More generally, the method can b…
Quantifying Community Characteristics of Maternal Mortality Using Social Media
Rediet Abebe, Salvatore Giorgi, Anna Tedijanto +2
While most mortality rates have decreased in the US, maternal mortality has increased and is among the highest of any OECD nation. Extensive public health research is ongoing to be…