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Article

InfEHR: Resolving Clinical Uncertainty through Deep Geometric Learning on Electronic Health Records

2025-02-02

Abstract excerpt

<h4>ABSTRACT</h4> Electronic health records (EHRs) contain multimodal data that can inform diagnostic and prognostic clinical decisions but are often unsuited for advanced machine learning (ML)–based patient-specific analyses. ML models and clinical heuristics learn generalizable relationships from predefined factors, yet many patients may not benefit if those factors are missing in the EHR or differ—however subtl...

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Literature Corpus work
5f11c8a2-7de3-5e2b-95b0-783c5725885a
DOI
10.1101/2025.01.31.25321471
Open publication

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InfEHR: Resolving Clinical Uncertainty through Deep Geometric Learning on Electronic Health RecordsDOI 10.1101/2025.01.31.25321471
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