Dynamic evolution of readmission risk factors across short-, medium-, and long-term horizons in type 2 diabetes: a machine learning-based predictive modeling study with SHAP interpretability - Top-Institutions - MDSpire

Dynamic evolution of readmission risk factors across short-, medium-, and long-term horizons in type 2 diabetes: a machine learning-based predictive modeling study with SHAP interpretability

  • By

  • Lei Li

  • Sheng Jiang

  • June 22, 2026

  • 0 min

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Top Institutions in Endocrinology

Brief introduction explaining scope and methodology.

  • #1

    Ethics Committee of the First Affiliated Hospital of Xinjiang Medical University
    Ethics Committee of the First Affiliated Hospital of Xinjiang Medical University

    Urumqi, Xinjiang

    Key Differentiators

    • Endocrinology

  • #2

    UK Biobank
    UK Biobank

    Cambridge, England

    Key Differentiators

    • Endocrinology

Original Source(s)

Dynamic evolution of readmission risk factors across short-, medium-, and long-term horizons in type 2 diabetes: a machine learning-based predictive modeling study with SHAP interpretability

  • by Lei Li, Sheng Jiang

  • June 22, 2026

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