Automated identification of fall-related injuries in unstructured clinical notes - Top-Institutions - MDSpire

Automated identification of fall-related injuries in unstructured clinical notes

  • By

  • Wendong Ge

  • Lilian M Godeiro Coelho

  • Maria A Donahue

  • Hunter J Rice

  • Deborah Blacker

  • John Hsu

  • Joseph P Newhouse

  • Sonia Hernández-Díaz

  • Sebastien Haneuse

  • Brandon Westover

  • Lidia M V R Moura

  • July 26, 2024

  • 0 min

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Top Institutions in Neurology

Brief introduction explaining scope and methodology.

  • #1

    Massachusetts General Hospital
    Massachusetts General Hospital

    Boston, MA

    Key Differentiators

    • Clinical Informatics
    • Geriatrics
    • Epidemiology
    • Machine Learning

  • #2

    Mayo Clinic
    Mayo Clinic

    Rochester, MN

    Key Differentiators

    • Clinical Informatics
    • Geriatrics
    • Machine Learning

  • #3

    Johns Hopkins University
    Johns Hopkins University

    Baltimore, MD

    Key Differentiators

    • Epidemiology
    • Clinical Informatics
    • Geriatrics

  • #4

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

    San Francisco, CA

    Key Differentiators

    • Clinical Informatics
    • Geriatrics
    • Machine Learning

  • #5

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

    Pittsburgh, PA

    Key Differentiators

    • Clinical Informatics
    • Geriatrics
    • Epidemiology

Original Source(s)

Automated identification of fall-related injuries in unstructured clinical notes

  • by Wendong Ge, Lilian M Godeiro Coelho, Maria A Donahue, Hunter J Rice, Deborah Blacker, John Hsu, Joseph P Newhouse, Sonia Hernández-Díaz, Sebastien Haneuse, Brandon Westover, Lidia M V R Moura

  • July 26, 2024

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