Leveraging reddit data for context-enhanced synthetic health data generation to identify low self esteem.

ABSTRACT: Low self-esteem (LoST) is a latent yet critical psychosocial risk factor that predisposes individuals to depressive disorders. Although structured tools exist to assess self-esteem, their limited clinical adoption suggests that relevant indicators of LoST remain buried within unstructured clinical narratives. The scarcity of annotated clinical notes impedes the development of natural language processing (NLP) models for its detection. Manual chart reviews are labor-intensive and large language model (LLM)-driven (weak) labeling raises privacy concerns. Past studies demonstrate that NLP models trained on LLM-generated synthetic clinical notes achieve performance comparable to, and sometimes better than those trained on real notes. This highlights synthetic data's utility for augmenting scar

SUBMITTER: Garg M 

PROVIDER: S-EPMC12847414 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature