Machine Learning-Based Immuno-Inflammatory Index Integrating Clinical Characteristics for Predicting Coronary Artery Plaque Rupture.

Journal: Immunity, inflammation and disease
PMID: 40192067

Abstract

BACKGROUND: Coronary artery plaque rupture (PR) is closely associated with immune-inflammatory responses. The systemic inflammatory index (SII) and the systemic inflammatory response index (SIRI) have shown potential in predicting the occurrence of PR.

Authors

  • Xi Wang
    School of Information, Central University of Finance and Economics, Beijing, China.
  • Qianhang Xia
    Department of Cardiology, The Third Affiliated Hospital of Zunyi Medical University (The First People's Hospital of Zunyi), Zunyi, China.
  • Shuangya Yang
    Department of Cardiology, Affiliated Hospital of Zunyi Medical University, Zunyi, China.
  • Chancui Deng
    Department of Cardiology, Affiliated Hospital of Zunyi Medical University, Zunyi, China.
  • Ning Gu
    Department of Cardiology, Affiliated Hospital of Zunyi Medical University, Zunyi, China.
  • Youcheng Shen
    Department of Cardiology, Affiliated Hospital of Zunyi Medical University, Zunyi, China.
  • Zhenglong Wang
    Department of Cardiology, Affiliated Hospital of Zunyi Medical University, Zunyi, China.
  • Bei Shi
    Program of Artificial Intelligence in Medicine, College of Medicine, Soochow University, Suzhou 215123, China.
  • Ranzun Zhao
    Program of Artificial Intelligence in Medicine, College of Medicine, Soochow University, Suzhou 215123, China.

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