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Early Prediction of Cerebral Vasospasm After Aneurysmal Subarachnoid Hemorrhage Using a Machine Learning Model and Interactive Web Application
3
Zitationen
14
Autoren
2025
Jahr
Abstract
Routinely available clinical and imaging parameters enable reliable ML-based vasospasm prediction after aSAH. Logistic regression provided the best balance between accuracy and interpretability, while tree-based models optimized sensitivity. This web-based, interpretable ML tool-one of the first using routine clinical data-may support the bedside prediction of vasospasm and requires prospective validation.
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