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Factors Influencing Stroke Severity Based on Collateral Circulation, Clinical Markers and Machine Learning
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2025
Jahr
Abstract
: Collateral status and unilateral-bilateral stroke are key determinants of severity; SBP and FPG add prognostic value, with BUN borderline. Tree-based ensembles trained on SMOTE-balanced data provide the most reliable predictions for risk stratification. These findings suggest that future work may focus on integrating such predictive models into Clinical Decision Support Systems (CDSSs) to enhance early risk identification, strengthen CDSSs, and enable more personalized care planning for stroke patients.
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