collaborators

8 papers

cs.CL2026

LLM-Augmented Therapy Normalization and Aspect-Based Sentiment Analysis for Treatment-Resistant Depression on Reddit

Yuxin Zhu, Sahithi Lakamana, Masoud Rouhizadeh +3

Treatment-resistant depression (TRD) is a severe form of major depressive disorder in which patients do not achieve remission despite multiple adequate treatment trials. Evidence a…

cs.CL2025

Inference Gap in Domain Expertise and Machine Intelligence in Named Entity Recognition: Creation of and Insights from a Substance Use-related Dataset

Sumon Kanti Dey, Jeanne M. Powell, Azra Ismail +2

Nonmedical opioid use is an urgent public health challenge, with far-reaching clinical and social consequences that are often underreported in traditional healthcare settings. Soci…

cs.AI2025

Automated Thematic Analyses Using LLMs: Xylazine Wound Management Social Media Chatter Use Case

JaMor Hairston, Ritvik Ranjan, Sahithi Lakamana +4

Background Large language models (LLMs) face challenges in inductive thematic analysis, a task requiring deep interpretive and domain-specific expertise. We evaluated the feasibili…

cs.CL2025

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…

cs.CL2025

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…

cs.CY2025

Large Language Models in Healthcare

Mohammed Al-Garadi, Tushar Mungle, Abdulaziz Ahmed +3

Large language models (LLMs) hold promise for transforming healthcare, from streamlining administrative and clinical workflows to enriching patient engagement and advancing clinica…