Article

Note-Level Phenotyping of Multiple Sclerosis Notes by a Large Language Model Achieves Near Human-Level Agreement

2026-04-16

Abstract excerpt

<h4>Background: </h4> /Objectives: Clinical phenotyping from narrative electronic health records (EHRs) often relies on multi-stage pipelines with span-level extraction, ontology mapping, and aggregation, which are complex to develop and maintain. Large language models (LLMs) may enable direct note-level abstraction of clinically meaningful features without intermediate extraction steps. We evaluated whether an LL...

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Literature Corpus work: ac3e6c0a-9ad5-5687-a8d8-52987b3724a3
DOI: 10.20944/preprints202604.1173.v1

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