Fair positive unlabeled learning for predicting undiagnosed Alzheimer’s disease in diverse electronic health records - Top-Institutions - MDSpire

Fair positive unlabeled learning for predicting undiagnosed Alzheimer’s disease in diverse electronic health records

  • By

  • Thai Tran

  • Mingzhou Fu

  • Jessica Fung

  • Sriram Sankararaman

  • David A. Elashoff

  • Keith Vossel

  • Timothy S. Chang

  • November 27, 2025

  • 0 min

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Top Institutions in General Medicine

Brief introduction explaining scope and methodology.

  • #1

    University of California, Los Angeles (UCLA) Health
    University of California, Los Angeles (UCLA) Health

    Los Angeles, CA

    Key Differentiators

    • Neurology
    • Biomedical Informatics
    • Alzheimer's Disease Research

  • #2

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

    Boston, MA

    Key Differentiators

    • Neurology
    • Neurodegenerative Disease Research
    • Biomedical Informatics

  • #3

    Johns Hopkins University
    Johns Hopkins University

    Baltimore, MD

    Key Differentiators

    • Neurology
    • Alzheimer's Disease Research
    • Biomedical Informatics

  • #4

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

    San Francisco, CA

    Key Differentiators

    • Neurology
    • Neurodegenerative Disease Research
    • Biomedical Informatics

  • #5

    Mayo Clinic
    Mayo Clinic

    Rochester, MN

    Key Differentiators

    • Neurology
    • Alzheimer's Disease Research
    • Biomedical Informatics

Original Source(s)

Fair positive unlabeled learning for predicting undiagnosed Alzheimer’s disease in diverse electronic health records

  • by Thai Tran, Mingzhou Fu, Jessica Fung, Sriram Sankararaman, David A. Elashoff, Keith Vossel, Timothy S. Chang

  • November 27, 2025

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