Developing an Explainable Prognostic Model for Acute Ischemic Stroke: Combining Clinical and Inflammatory Biomarkers With Machine Learning
Brain and Behavior2025Vol. 15(8), pp. e70673–e70673
Citations Over TimeTop 10% of 2025 papers
Abstract
This study developed a robust and interpretable predictive model for ACI prognosis by integrating clinical and inflammatory biomarkers. The model underscores the prognostic significance of NIHSS_24 h and inflammatory markers, highlighting the critical role of early assessment and personalized treatment strategies. Future research should focus on multi-center validation and the incorporation of additional predictive variables to further enhance the model's accuracy and generalizability.
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