Can Attention Be Used to Explain EHR-Based Mortality Prediction Tasks: A Case Study on Hemorrhagic Stroke. (arXiv:2308.05110v1 [cs.LG])

Stroke is a significant cause of mortality and morbidity, necessitating early
predictive strategies to minimize risks. Traditional methods for evaluating
patients, such as Acute Physiology and Chronic Health Evaluation (APACHE II,
IV) and Simplified Acute Physiology Score III (SAPS III), have limited accuracy
and interpretability. This paper proposes a novel approach: an interpretable,
attention-based transformer model for early stroke mortality prediction. This
model seeks to address the limitations of previous predictive models, providing
both interpretability (providing clear, understandable explanations of …

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