Machine Learning–Augmented Traditional Analysis of Lactate vs Lactate-to-Albumin Ratio for Predicting Mortality Risk in Patients With Sepsis: Large-Scale Retrospective Study - Top-Institutions - MDSpire

Enhanced Traditional Analysis of Lactate and Lactate-to-Albumin Ratio for Assessing Mortality Risk in Sepsis Patients: A Comprehensive Retrospective Study Using Machine Learning Techniques

  • By

  • Xiaodi Wang

  • Yi Xu

  • Weijun Xiao

  • Peng Dou

  • Yunxia Huang

  • Muhan Cao

  • Liang Luo

  • Qinghua Hou

  • July 16, 2026

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Top Institutions in Infectious Disease

Brief introduction explaining scope and methodology.

  • #1

    Philips eICU Collaborative Research Database
    Philips eICU Collaborative Research Database

    N/A, N/A

    Key Differentiators

    • Critical Care

  • #2

    MIMIC-IV
    MIMIC-IV

    N/A, N/A

    Key Differentiators

    • Critical Care

  • #3

    eICU Collaborative Research Database (eICU-CRD)
    eICU Collaborative Research Database (eICU-CRD)

    N/A, N/A

    Key Differentiators

    • Critical Care

  • #4

    First Affiliated Hospital of Dalian Medical University
    First Affiliated Hospital of Dalian Medical University

    Dalian, Liaoning

    Key Differentiators

    • Critical Care

  • #5

    Guizhou Medical University Affiliated Hospital
    Guizhou Medical University Affiliated Hospital

    Guiyang, Guizhou

    Key Differentiators

    • Critical Care

Original Source(s)

Machine Learning–Augmented Traditional Analysis of Lactate vs Lactate-to-Albumin Ratio for Predicting Mortality Risk in Patients With Sepsis: Large-Scale Retrospective Study

  • by Xiaodi Wang, Yi Xu, Weijun Xiao, Peng Dou, Yunxia Huang, Muhan Cao, Liang Luo, Qinghua Hou

  • July 16, 2026

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