Identification of neurological text markers associated with risk of stroke.

Journal: Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
Published Date: Jun 11, 2025

Abstract

BACKGROUND: Delayed or missed stroke diagnosis is associated with poor outcomes. We utilized natural language processing of notes from non-neurological emergency department (ED) encounters to identify text phrases indicating stroke presentations that are associated with stroke hospitalization 30 days after ED discharge.

Authors

  • Anoop Mayampurath
    Department of Medicine, University of Wisconsin-Madison, Madison, WI, United States.
  • Avery Rosado
    Department of Neurology, University of Chicago, Chicago, IL, USA.
  • Elida Romo
    Department of Neurology, University of Chicago, Chicago, IL, USA.
  • Philip Silberman
    Research Analytics, Northwestern University, Chicago, IL, USA.
  • Jay Patel
    Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, USA.
  • Samantha Jankowski
    Department of Neurology, University of Chicago, Chicago, IL, USA.
  • Matthew Maas
    Department of Neurology, Northwestern University, Chicago, IL, USA.
  • Jane L Holl
    Center for Healthcare Studies, Northwestern University, Chicago, Illinois.
  • Ava L Liberman
    Department of Neurology, Weil Cornell Medical College, New York, NY, USA.
  • Shyam Prabhakaran
    Center for Healthcare Studies, Northwestern University, Chicago, Illinois.

Keywords

External Resources

Popular Topics
Recent Journals