Machine learning early risk assessment model for acute kidney injury in critically ill children: a retrospective cohort study - Top-Institutions - MDSpire

Machine learning early risk assessment model for acute kidney injury in critically ill children: a retrospective cohort study

  • By

  • Linyao Xie

  • Chao Chen

  • Chaojie Zhang

  • Lizhi Chen

  • Yijuan Li

  • July 9, 2026

  • 0 min

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Top Institutions in Pediatrics

Brief introduction explaining scope and methodology.

  • #1

    Children's Hospital, Zhejiang University School of Medicine
    Children's Hospital, Zhejiang University School of Medicine

    Hangzhou, Zhejiang

    Key Differentiators

    • Pediatrics
    • Intensive Care

  • #2

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

    Nashville, Tennessee

    Key Differentiators

    • Intensive Care
    • Data Science

  • #3

    Beth Israel Deaconess Medical Center
    Beth Israel Deaconess Medical Center

    Boston, Massachusetts

    Key Differentiators

    • Pediatrics
    • Intensive Care

Original Source(s)

Machine learning early risk assessment model for acute kidney injury in critically ill children: a retrospective cohort study

  • by Linyao Xie, Chao Chen, Chaojie Zhang, Lizhi Chen, Yijuan Li

  • July 9, 2026

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