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Scalable Identification of Clinically Relevant COPD Documents: A Lightweight NLP Model for Large-Scale EHR Datasets

2025-04-25

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Background</h4> The widespread adoption of electronic health records (EHRs) has resulted in the generation of large volumes of clinical notes. Learning algorithms and large language models (LLMs) train from these resources but are susceptible to noise—irrelevant or non-informative data from them. This sensitivity can lead to significant challenges, including performance degradation and the ge...

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Literature Corpus work
aa4f7893-3e90-57d5-a766-fb0dbc689d30
DOI
10.1101/2025.04.22.25326240
Open publication

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Scalable Identification of Clinically Relevant COPD Documents: A Lightweight NLP Model for Large-Scale EHR DatasetsDOI 10.1101/2025.04.22.25326240
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