论文标题
当Bert失败时 - EHR分类的限制
When BERT Fails -- The Limits of EHR Classification
论文作者
论文摘要
变形金刚是强大的文本表示学习者，可用于各种临床决策支持任务。尽管他们在再入选预测方面的表现不佳，但它们并不可靠。在这里，我们研究了一种失败情况，并报告导致劣等预测性能的模式。
Transformers are powerful text representation learners, useful for all kinds of clinical decision support tasks. Although they outperform baselines on readmission prediction, they are not infallible. Here, we look into one such failure case, and report patterns that lead to inferior predictive performance.
