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Transformers are powerful text representation learners, useful for all kindsof clinical decision support tasks. Although they outperform baselines onreadmission prediction, they are not infallible. Here, we look into one suchfailure case, and report patterns that lead to inferior predictive performance.

When BERT Fails -- The Limits of EHR Classification