Predicting Poor Outcome Before Endovascular Treatment in Patients With Acute Ischemic Stroke
Conclusions: All prediction models showed a high AUC. The best-performing models correctly identified 34% of the poor outcome patients at a cost of misclassifying 4% of non-poor outcome patients. Further studies are necessary to determine whether these accuracies are reproducible before implementation in clinical practice.
Source: Frontiers in Neurology - Category: Neurology Source Type: research
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