most citedLeveraging Large Language Models to Extract Information on Substance Use Disorder Severity from Clinical Notes: A Zero-shot Learning Approach

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CL2026

A Multi-Stage Validation Framework for Trustworthy Large-scale Clinical Information Extraction using Large Language Models

Maria Mahbub, Gregory M. Dams, Josh Arnold +9

Large language models (LLMs) show promise for extracting clinically meaningful information from unstructured health records, yet their translation into real-world settings is const…

cs.CL2024★ 1 cited

Leveraging Large Language Models to Extract Information on Substance Use Disorder Severity from Clinical Notes: A Zero-shot Learning Approach

Maria Mahbub, Gregory M. Dams, Sudarshan Srinivasan +4

Substance use disorder (SUD) poses a major concern due to its detrimental effects on health and society. SUD identification and treatment depend on a variety of factors such as sev…