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Article

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

2025-09-15

Abstract excerpt

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 artificial intelligence (AI) syste...

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Identifiers and source

Literature Corpus work
e49781f3-b5ff-5ec0-bf41-ce973713948e
DOI
10.1101/2025.09.12.25335665
Open publication

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Clinically Informed Semi-Supervised Learning Improves Disease Annotation and Equity from Electronic Health Records: A Glaucoma Case StudyDOI 10.1101/2025.09.12.25335665
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