Clinical subphenotypes of sepsis based on mixed continuous and categorical data and differences in treatment effects: a cluster analysis of multicenter observational studies - Top-Institutions - MDSpire

Clinical subphenotypes of sepsis based on mixed continuous and categorical data and differences in treatment effects: a cluster analysis of multicenter observational studies

  • By

  • Yuta Yokokawa

  • Rieko Sakurai

  • Daisuke Kudo

  • Gen Tamiya

  • Shigeki Kushimoto

  • January 15, 2026

  • 0 min

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Top Institutions in Emergency Medicine

Brief introduction explaining scope and methodology.

  • #1

    Johns Hopkins University
    Johns Hopkins University

    Baltimore, MD

    Key Differentiators

    • Critical Care Medicine
    • Infectious Diseases
    • Biomedical Informatics

  • #2

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

    Pittsburgh, PA

    Key Differentiators

    • Critical Care Medicine
    • Infectious Diseases
    • Data Science

  • #3

    Massachusetts General Hospital (MGH) / Harvard Medical School
    Massachusetts General Hospital (MGH) / Harvard Medical School

    Boston, MA

    Key Differentiators

    • Critical Care Medicine
    • Infectious Diseases
    • Translational Medicine

  • #4

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

    San Francisco, CA

    Key Differentiators

    • Critical Care Medicine
    • Infectious Diseases
    • Clinical Epidemiology

  • #5

    University of Washington
    University of Washington

    Seattle, WA

    Key Differentiators

    • Critical Care Medicine
    • Infectious Diseases
    • Biostatistics

Original Source(s)

Clinical subphenotypes of sepsis based on mixed continuous and categorical data and differences in treatment effects: a cluster analysis of multicenter observational studies

  • by Yuta Yokokawa, Rieko Sakurai, Daisuke Kudo, Gen Tamiya, Shigeki Kushimoto

  • January 15, 2026

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