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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Detaylı Bibliyografya
Asıl Yazarlar:	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
Materyal Türü:	Artigo
Dil:	Inglês
Baskı/Yayın Bilgisi:	Wolters Kluwer Health 2021-11-01
Seri Bilgileri:	Stroke: Vascular and Interventional Neurology
Konular:	Acute Stroke New Technique Stroke Diagnostic Neuroradiology
Online Erişim:	https://www.ahajournals.org/doi/10.1161/SVIN.01.suppl_1.000089
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Abstract 1122‐000089: Characterization of Critical Sequelae in Ischemic Stroke Using Natural Language Processing

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