Abstract 1122‐000089: Characterization of Critical Sequelae in Ischemic Stroke Using Natural Language Processing

Introduction: Automated processing of electronic health data to classify complications of ischemic stroke serves numerous purposes, including improved electronic phenotyping for clinical research. Here, we present a natural language processing (NLP) approach to identify critical findings in acute is...

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Auteurs principaux:	Matthew I Miller, Agni Orfanoudaki, Benjamin Brush, Hanife Saglam, Oluwafemi Balogun, Maria Tzalidi, Kyriakos Vasilopoulos, Georgia Fanaropoulou, Nina Fanaropoulou, Michael Cronin, David Greer, Stelios Smirnakis, Charlene Ong
Format:	Artigo
Langue:	Inglês
Publié:	Wolters Kluwer Health 2021-11-01
Collection:	Stroke: Vascular and Interventional Neurology
Sujets:	Acute Stroke New Technique Stroke Diagnostic Neuroradiology
Accès en ligne:	https://www.ahajournals.org/doi/10.1161/SVIN.01.suppl_1.000089
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