Developing an Explainable Prognostic Model for Acute Ischemic Stroke: Combining Clinical and Inflammatory Biomarkers With Machine Learning.

Journal: Brain and behavior
Published Date: Aug 1, 2025

Abstract

BACKGROUND: Predicting the prognosis of patients with acute cerebral infarction (ACI) is crucial for clinical decision-making and personalized treatment. However, existing models often lack the comprehensive integration of clinical and biological indicators necessary for accurate and interpretable predictions. This study aims to develop and validate a predictive model using a combination of clinical assessments and inflammatory biomarkers to improve the prognostication of ACI patients.

Authors

  • Linlin Ma
    Shanghai University of Medicine and Health Sciences Affiliated Zhoupu Hospital, Shanghai, 201318, China. linlinma1986@gmail.com.
  • Lang Ji
    Central Laboratory, Beijing Luhe Hospital, Capital Medical University, Beijing, China.
  • Zhe Cheng
    Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, The People's Republic of China. chengzhezzu@outlook.com.
  • Xiaokun Geng
    China-America Institute of Neuroscience, Beijing Luhe Hospital, Capital Medical University, Tongzhou Qu, China.
  • Yuchuan Ding
    China-America Institute of Neuroscience, Beijing Luhe Hospital, Capital Medical University, Tongzhou Qu, China.

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