Preprint
Aug 2026
Explainable Transformer Models for Clinical Prediction Tasks on Structured Electronic Health Records
BERT-LER is presented, a BERT-style model for coded EHR timelines pretrained and fine-tuned from a de-identified EHR dataset of 75 million patients, that encodes laboratory test results as discrete tokens while retaining graded information through percentile-based binning, paired with Integrated Gradients for token-level attributions grounded in the input EHR sequence.
Jun Ni Du, Lukas Adamek, Maxim A Kryukov et al.
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