Machine Learning Model for Predicting the Risk of AKI in Early Hemodynamically Stable Sepsis Patients: A Study Based on the MIMIC IV Database - Top-Institutions - MDSpire

Machine Learning Model for Predicting the Risk of AKI in Early Hemodynamically Stable Sepsis Patients: A Study Based on the MIMIC IV Database

  • By

  • He, Miao

  • Li, Xinran

  • Wu, Jiajing

  • Huang, Luyao

  • Wang, Nan

  • Chen, Limin

  • Jiang, Mingxin

  • Chen, Zhe

  • Wei, Lin

  • Zhang, Hong

  • May 18, 2026

  • 0 min

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Top Institutions in Nephrology

Brief introduction explaining scope and methodology.

  • #1

    MIMIC IV Database
    MIMIC IV Database

    Boston, MA

    Key Differentiators

    • Nephrology
    • Critical Care

  • #2

    five academic medical centers in North America
    five academic medical centers in North America

    Various, Various

    Key Differentiators

    • Nephrology
    • Critical Care

  • #3

    Cleveland Clinic Foundation
    Cleveland Clinic Foundation

    Cleveland, OH

    Key Differentiators

    • Nephrology
    • Critical Care

Original Source(s)

Machine Learning Model for Predicting the Risk of AKI in Early Hemodynamically Stable Sepsis Patients: A Study Based on the MIMIC IV Database

  • by He, Miao , Li, Xinran , Wu, Jiajing , Huang, Luyao , Wang, Nan , Chen, Limin , Jiang, Mingxin , Chen, Zhe , Wei, Lin , Zhang, Hong

  • May 18, 2026

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