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Domain Adaptation Strategies for Transformer-Based Disease Prediction Using Electronic Health Records

2025-06-02

Abstract excerpt

Electronic Health Records (EHRs) offer rich data for machine learning, but model generalizability across institutions is hindered by statistical and coding biases. This study investigates domain adaptation (DA) techniques to improve model transfer, focusing on the Ex-Med-BERT transformer architecture for structured EHR data. We compare supervised and un-supervised DA methods in transferring predictive capabilities...

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Literature Corpus work
6aacffba-77ea-55e2-8e38-f427d63f188f
DOI
10.1101/2025.06.02.25328621
Open publication

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Domain Adaptation Strategies for Transformer-Based Disease Prediction Using Electronic Health RecordsDOI 10.1101/2025.06.02.25328621
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