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Zizhang Chen

2 accepted papers

2025

Uncertainty Quantification for Clinical Outcome Predictions with (Large) Language Models

NAACL 2025findings

To facilitate healthcare delivery, language models (LMs) have significant potential for clinical prediction tasks using electronic health records (EHRs). However, in these high-stakes applications, unreliable decisions can result in significant costs due to compromised patient safety and ethical con…

Cited by 1SourcePDFScholar