Natural Language Processing Enhances Prediction of Functional Outcome After Acute Ischemic Stroke

Background Conventional prognostic scores usually require predefined clinical variables to predict outcome. The advancement of natural language processing has made it feasible to derive meaning from unstructured data. We aimed to test whether using unstructured text in electronic health records can...

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Bibliographic Details
Main Authors: Sheng‐Feng Sung, Chih‐Hao Chen, Ru‐Chiou Pan, Ya‐Han Hu, Jiann‐Shing Jeng
Format: Artigo
Language:Inglês
Published: Wiley 2021-12-01
Series:Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease
Subjects:
acute ischemic stroke
machine learning
natural language processing
outcome prediction
risk score
Online Access:https://www.ahajournals.org/doi/10.1161/JAHA.121.023486
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