22 citations · 33 across the 4 of their papers we have counts for
4 papers
Application of CARE-SD text classifier tools to assess distribution of stigmatizing and doubt-marking language features in EHR
Drew Walker, Jennifer Love, Swati Rajwal +4
Introduction: Electronic health records (EHR) are a critical medium through which patient stigmatization is perpetuated among healthcare teams. Methods: We identified linguistic fe…
Identifying social isolation themes in NVDRS text narratives using topic modeling and text-classification methods
Drew Walker, Swati Rajwal, Sudeshna Das +2
Social isolation and loneliness, which have been increasing in recent years strongly contribute toward suicide rates. Although social isolation and loneliness are not currently rec…
CARE-SD: Classifier-based analysis for recognizing and eliminating stigmatizing and doubt marker labels in electronic health records: model development and validation
Drew Walker, Annie Thorne, Sudeshna Das +4
Objective: To detect and classify features of stigmatizing and biased language in intensive care electronic health records (EHRs) using natural language processing techniques. Mate…
Two-Layer Retrieval-Augmented Generation Framework for Low-Resource Medical Question Answering Using Reddit Data: Proof-of-Concept Study
Sudeshna Das, Yao Ge, Yuting Guo +19
The increasing use of social media to share lived and living experiences of substance use presents a unique opportunity to obtain information on side effects, use patterns, and opi…