3 papers
cs.CL2026
Toward Automated Detection of Documentation Inconsistencies in Electronic Health Records
Jian Lu, Panyu Chen, Miriam Treggiari +5
Objective: To characterize the kinds of internal documentation inconsistencies a general-domain large language model (LLM) can surface from real-world discharge summaries, and to i…
cs.DB2026
Reliable Curation of EHR Dataset via Large Language Models under Environmental Constraints
Raymond M. Xiong, Panyu Chen, Tianze Dong +6
Electronic health records (EHRs) are central to modern healthcare delivery and research; yet, many researchers lack the database expertise necessary to write complex SQL queries or…
cs.LG2025
Models That Are Interpretable But Not Transparent
Chudi Zhong, Panyu Chen, Cynthia Rudin
Faithful explanations are essential for machine learning models in high-stakes applications. Inherently interpretable models are well-suited for these applications because they nat…