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Med-gte-hybrid: A contextual embedding modelfor extracting narrative information from clinical texts

2025-03-12

Abstract excerpt

<title>Abstract</title> <p>The extraction of actionable information from unstructured clinical narrativesis a crucial step toward advancing predictive healthcare, particularly for chronicdiseases such as Chronic Kidney Disease (CKD). We present an approach toextract narrative information using a sentence transformer that generates robustembeddings for clinical text, enabling a range of downstream tasks, including...

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Identifiers and source

Literature Corpus work
19bf3235-e399-5ac5-b382-37c24cb43c17
DOI
10.21203/rs.3.rs-5167581/v1
Open publication

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Med-gte-hybrid: A contextual embedding modelfor extracting narrative information from clinical textsDOI 10.21203/rs.3.rs-5167581/v1
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