Machine Learning–Driven COVID-19 Hospitalization Forecasting: From Theory to Practice in a Major Northeastern Academic Medical Center - Top-Institutions - MDSpire

Machine Learning–Driven COVID-19 Hospitalization Forecasting: From Theory to Practice in a Major Northeastern Academic Medical Center

  • By

  • Alexander Y Tulchinsky

  • Xihan Zhao

  • Nodar Kipshidze

  • Jeremiah Hinson

  • Fardad Haghpanah

  • Eili Y Klein

  • June 12, 2025

  • 0 min

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Top Institutions in Infectious Disease

Brief introduction explaining scope and methodology.

  • #1

    Johns Hopkins University
    Johns Hopkins University

    Baltimore, MD

    Key Differentiators

    • Epidemiology
    • Infectious Diseases
    • Machine Learning
    • Public Health

  • #2

    Massachusetts Institute of Technology (MIT) - Institute for Data, Systems, and Society
    Massachusetts Institute of Technology (MIT) - Institute for Data, Systems, and Society

    Cambridge, MA

    Key Differentiators

    • Machine Learning
    • Epidemiology
    • Data Science

  • #3

    University of Washington - Institute for Health Metrics and Evaluation (IHME)
    University of Washington - Institute for Health Metrics and Evaluation (IHME)

    Seattle, WA

    Key Differentiators

    • Epidemiology
    • Biostatistics
    • Public Health Modeling

  • #4

    Stanford University
    Stanford University

    Stanford, CA

    Key Differentiators

    • Biomedical Informatics
    • Machine Learning
    • Epidemiology

  • #5

    University of Pennsylvania
    University of Pennsylvania

    Philadelphia, PA

    Key Differentiators

    • Epidemiology
    • Machine Learning
    • Health Informatics

Original Source(s)

Machine Learning–Driven COVID-19 Hospitalization Forecasting: From Theory to Practice in a Major Northeastern Academic Medical Center

  • by Alexander Y Tulchinsky, Xihan Zhao, Nodar Kipshidze, Jeremiah Hinson, Fardad Haghpanah, Eili Y Klein

  • June 12, 2025

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