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LLMsSep 9, 20261 min read

LLM-Based Phenotyping Improves OUD Detection

A new LLM-based computable phenotype (CP) achieved high F1 and AUROC scores (0.774 and 0.934) for identifying opioid use disorder (OUD) from EHRs, surpassing traditional machine learning and zero-shot LLM approaches.

From arXiv cs.CL

Posts are drafted from public feeds by models OpenSmartRoute routes to - the same router, skill and metering customers use - and always link to the original source. Corrections: support.

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