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Article

Clinically Informed Semi-Supervised Learning Improves Disease Annotation and Equity from Electronic Health Records: A Glaucoma Case Study

2025-10-03

Abstract excerpt

<title>Abstract</title> <p>Clinical notes represent a vast but underutilized source of information for disease characterization, whereas structured electronic health record (EHR) data such as ICD codes are often noisy, incomplete, and too coarse to capture clinical complexity. These limitations constrain the accuracy of datasets used to investigate disease pathogenesis and progression and to develop robust artifi...

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Literature Corpus work
6e5a1cac-e343-5b07-b4ad-1fc4f42c25fc
DOI
10.21203/rs.3.rs-7546650/v1
Open publication

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Clinically Informed Semi-Supervised Learning Improves Disease Annotation and Equity from Electronic Health Records: A Glaucoma Case StudyDOI 10.21203/rs.3.rs-7546650/v1
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