An interpretable machine-learning model for early prediction of acute kidney injury in polytrauma patients - Top-Institutions - MDSpire

A Transparent Machine Learning Approach for Early Detection of Acute Kidney Injury in Patients with Polytrauma

  • By

  • Yang He

  • Xidong Wang

  • Jiali Huang

  • Jinglan Liu

  • July 20, 2026

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Top Institutions in Surgery

Brief introduction explaining scope and methodology.

  • #1

    Beth Israel Deaconess Medical Center
    Beth Israel Deaconess Medical Center

    Boston, Massachusetts

    Key Differentiators

    • Nephrology

  • #2

    MIT Laboratory for Computational Physiology
    MIT Laboratory for Computational Physiology

    Cambridge, Massachusetts

    Key Differentiators

    • Computational Physiology

  • #3

    eICU Collaborative Research Database
    eICU Collaborative Research Database

    N/A, N/A

    Key Differentiators

    • Critical Care

  • #4

    Medical Information Mart for Intensive Care IV
    Medical Information Mart for Intensive Care IV

    N/A, N/A

    Key Differentiators

    • Intensive Care

Original Source(s)

An interpretable machine-learning model for early prediction of acute kidney injury in polytrauma patients

  • by Yang He, Xidong Wang, Jiali Huang, Jinglan Liu

  • July 20, 2026

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