Development and validation of an interpretable machine learning model for predicting in-hospital mortality for ischemic stroke patients in ICU
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Background: Timely and accurate outcome prediction is essential for clinical decision-making for ischemic stroke patients in the intensive care unit (ICU). However, the interpretation and translation of predictive models into cli... ...
