Predicting anti-CCP positivity and early rheumatoid arthritis onset from routine laboratory parameters: a SHAP-explained machine learning pipeline - Top-Institutions - MDSpire

Predicting anti-CCP positivity and early rheumatoid arthritis onset from routine laboratory parameters: a SHAP-explained machine learning pipeline

  • By

  • Juan Wang

  • Jiaqing Chen

  • Kaiwen Wang

  • June 29, 2026

  • 0 min

Share

Top Institutions in Rheumatology

Brief introduction explaining scope and methodology.

  • #1

    The Johns Hopkins Hospital
    The Johns Hopkins Hospital

    Baltimore, Maryland

    Key Differentiators

    • Rheumatology

  • #2

    Cleveland Clinic
    Cleveland Clinic

    Cleveland, Ohio

    Key Differentiators

    • Rheumatology

  • #3

    Royal Adelaide Hospital
    Royal Adelaide Hospital

    Adelaide, South Australia

    Key Differentiators

    • Rheumatology

  • #4

    Nationwide Children’s Hospital
    Nationwide Children’s Hospital

    Columbus, Ohio

    Key Differentiators

    • Rheumatology

  • #5

    University Hospital
    University Hospital

    Cleveland, Ohio

    Key Differentiators

    • Rheumatology

Original Source(s)

Predicting anti-CCP positivity and early rheumatoid arthritis onset from routine laboratory parameters: a SHAP-explained machine learning pipeline

  • by Juan Wang, Jiaqing Chen, Kaiwen Wang

  • June 29, 2026

Related Content

AAO Updates HCQ Retinopathy Guidance

Updated recommendations emphasize dosing limits and screening for toxicity risk.

IL-34-mediated fibroblast-like synoviocyte-macrophage crosstalk drives bone erosion in rheumatoid arthritis through RANKL-dependent osteoclastogenesis

Oxidative Balance, Inflammation Linked to RA Mortality

Higher oxidative balance was associated with lower mortality, while greater systemic inflammation was linked to increased risk in a US cohort of patients with rheumatoid arthritis.