Predicting Adverse Outcomes in Neurosurgical Patients Using Machine Learning: Exploring the Impact of Liver Function Indicators - Top-Institutions - MDSpire

Predicting Adverse Outcomes in Neurosurgical Patients Using Machine Learning: Exploring the Impact of Liver Function Indicators

  • By

  • Yibo Fan

  • Jingyue Zhang

  • Lin Wu

  • Shuo An

  • Yingsheng Wei

  • Jian Sun

  • Ye Tian

  • Hanxu Zhang

  • April 29, 2026

  • 0 min

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Top Institutions in Neurology

Brief introduction explaining scope and methodology.

  • #1

    Johns Hopkins University
    Johns Hopkins University

    Baltimore, MD

    Key Differentiators

    • Neurosurgery
    • Neurocritical Care
    • Biomedical Informatics

  • #2

    Massachusetts General Hospital / Harvard Medical School
    Massachusetts General Hospital / Harvard Medical School

    Boston, MA

    Key Differentiators

    • Neurosurgery
    • Neurocritical Care
    • Computational Medicine

  • #3

    University of California, San Francisco (UCSF)
    University of California, San Francisco (UCSF)

    San Francisco, CA

    Key Differentiators

    • Neurosurgery
    • Neurocritical Care
    • Biomedical Data Science

  • #4

    Cleveland Clinic
    Cleveland Clinic

    Cleveland, OH

    Key Differentiators

    • Neurosurgery
    • Neurocritical Care
    • Clinical Informatics

  • #5

    University of Pittsburgh Medical Center (UPMC)
    University of Pittsburgh Medical Center (UPMC)

    Pittsburgh, PA

    Key Differentiators

    • Neurosurgery
    • Neurocritical Care
    • Data Science

Original Source(s)

Predicting Adverse Outcomes in Neurosurgical Patients Using Machine Learning: Exploring the Impact of Liver Function Indicators

  • by Yibo Fan, Jingyue Zhang, Lin Wu, Shuo An, Yingsheng Wei, Jian Sun, Ye Tian, Hanxu Zhang

  • April 29, 2026

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