Machine learning based on systemic inflammation response index and risk of cardiovascular disease in gout: a retrospective study and clinical validation - Top-Institutions - MDSpire

Machine learning based on systemic inflammation response index and risk of cardiovascular disease in gout: a retrospective study and clinical validation

  • By

  • Qiang Zhang

  • Xuan-hua Yu

  • Wei-zhen Zhang

  • Xue-bing Lyu

  • Hu-han Lin

  • Shan-ting Zeng

  • Chang-quan Liu

  • Hui-juan Huang

  • Wei-zhe Deng

  • November 18, 2025

  • 0 min

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Top Institutions in Rheumatology

Brief introduction explaining scope and methodology.

  • #1

    Mayo Clinic
    Mayo Clinic

    Rochester, MN

    Key Differentiators

    • Rheumatology
    • Cardiology
    • Computational Medicine

  • #2

    Johns Hopkins University
    Johns Hopkins University

    Baltimore, MD

    Key Differentiators

    • Rheumatology
    • Cardiology
    • Biomedical Informatics

  • #3

    Cleveland Clinic
    Cleveland Clinic

    Cleveland, OH

    Key Differentiators

    • Cardiology
    • Rheumatology
    • Data Science

  • #4

    Brigham and Women's Hospital
    Brigham and Women's Hospital

    Boston, MA

    Key Differentiators

    • Rheumatology
    • Cardiology
    • Clinical Epidemiology

  • #5

    University of California, San Francisco (UCSF)
    University of California, San Francisco (UCSF)

    San Francisco, CA

    Key Differentiators

    • Rheumatology
    • Cardiology
    • Biomedical Informatics

Original Source(s)

Machine learning based on systemic inflammation response index and risk of cardiovascular disease in gout: a retrospective study and clinical validation

  • by Qiang Zhang, Xuan-hua Yu, Wei-zhen Zhang, Xue-bing Lyu, Hu-han Lin, Shan-ting Zeng, Chang-quan Liu, Hui-juan Huang, Wei-zhe Deng

  • November 18, 2025

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