Article

Automated Insomnia Phenotyping from Electronic Health Records: Leveraging Large Language Models to Decode Clinical Narratives

2025-06-03

Abstract excerpt

Insomnia is a highly prevalent but often underdiagnosed condition in clinical practice. Its inconsistent documentation in electronic health records (EHRs) limits population-level analyses and obstructs efforts to evaluate treatment patterns or outcomes. We present a novel, fully automated approach for phenotyping insomnia directly from unstructured clinical notes using generative large language models (LLMs). Leve...

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Literature Corpus work: bcf83642-0d16-52f6-9be9-8d8879373565
DOI: 10.1101/2025.06.02.25328701

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