An ensemble of prompted GPT-4o outputs scores F1=0.95 on medical entity classification in EHR text, but only after excluding the 63 percent of gold entities that the extraction step missed.
A survey on recent named entity recognition and relationship extraction techniques on clinical texts,
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LLM-based Prompt Ensemble for Reliable Medical Entity Recognition from EHRs
An ensemble of prompted GPT-4o outputs scores F1=0.95 on medical entity classification in EHR text, but only after excluding the 63 percent of gold entities that the extraction step missed.