When pitted against each other, the difference in AUC between the two was borderline significant at a value of p of 0.058, suggesting a potential edge for the logistic regression model, albeit not definitively so.
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Machine learning-based prediction of symptomatic intracerebral hemorrhage after intravenous thrombolysis for stroke: a large multicenter study.
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