1 citations · 1 across the 2 of their papers we have counts for
3 papers
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…
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…
Question-Answering System Extracts Information on Injection Drug Use from Clinical Notes
Maria Mahbub, Ian Goethert, Ioana Danciu +9
Background: Injection drug use (IDU) is a dangerous health behavior that increases mortality and morbidity. Identifying IDU early and initiating harm reduction interventions can be…