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Large Language Models with Retrieval-Augmented Generation for Zero-Shot Disease Phenotyping

By Will Thompson and others at
LogoUniversity of Maryland
Identifying disease phenotypes from electronic health records (EHRs) is critical for numerous secondary uses. Manually encoding physician knowledge into rules is particularly challenging for rare diseases due to inadequate EHR coding, necessitating review of clinical notes. Large language models (LLMs) offer promise in text understanding but may not efficiently handle... Show more
December 11, 2023
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