Predicting Stroke-Associated Pneumonia in Acute Ischemic Stroke: A Machine Learning Model Development and Validation Study with CBC-Derived Inflammatory Indices.

Journal: International journal of general medicine
Published Date:

Abstract

PURPOSE: Stroke-associated pneumonia (SAP), a critical complication of ischemic stroke, significantly worsens outcomes. Our aim was to identify SAP risk factors and develop a machine learning (ML) model for early risk stratification.

Authors

  • Mengqi Xie
    The Second Clinical Medical College of Xinjiang Medical University, Xinjiang Uygur Autonomous Region, People's Republic of China.
  • Zhiying Liu
    The Second Clinical Medical College of Xinjiang Medical University, Xinjiang Uygur Autonomous Region, People's Republic of China.
  • Fangfang Dai
    The Second Clinical Medical College of Xinjiang Medical University, Xinjiang Uygur Autonomous Region, People's Republic of China.
  • Zhen Cao
  • Xiaobei Wang
    Department of Neurology, The Second Affiliated Hospital of Xinjiang Medical University, Xinjiang Uygur Autonomous Region, People's Republic of China.

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