Improving Prehospital Stroke Diagnosis Using Natural Language Processing of Paramedic Reports

202130 citationsJournal Articlebronze Open Access

Authors

Anoop Mayampurath · University of Illinois Chicago

Zahra Parnianpour · University of the Valley of Atemajac

Christopher T. Richards · University of Cincinnati

William J. Meurer · University of Michigan

Jungwha Lee · Northwestern University

Bruce E. Ankenman · Northwestern University

Ohad Perry

Abstract

We derived a model that utilizes clinical text from paramedic reports to identify stroke. Our results require validation but have the potential of improving prehospital routing protocols.

Topics & Keywords

Acute Ischemic Stroke Management Trauma and Emergency Care Studies Cardiac Arrest and Resuscitation

UN Sustainable Development Goals

Peace, Justice and strong institutions

Publication Details

Published in: Stroke

Volume 52, Issue 8, pp. 2676-2679

DOI: 10.1161/strokeaha.120.033580

Field-Weighted Citation Impact: 3.88