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...
Main Authors: | , , , , , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Wiley
2021-11-01
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Series: | Stroke: Vascular and Interventional Neurology |
Subjects: | |
Online Access: | https://www.ahajournals.org/doi/10.1161/SVIN.01.suppl_1.000089 |