An LLM-based NLP tool was developed and tested to identify four types of HIV stigma in clinical notes, achieving up to 0.62 micro F1 score with GatorTron-large.
Enhanced language models for predicting and understanding HIV care disengagement: a case study in Tanzania
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Detecting HIV-Related Stigma in Clinical Narratives Using Large Language Models
An LLM-based NLP tool was developed and tested to identify four types of HIV stigma in clinical notes, achieving up to 0.62 micro F1 score with GatorTron-large.