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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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Main Authors: Sheng‐Feng Sung, Chih‐Hao Chen, Ru‐Chiou Pan, Ya‐Han Hu, Jiann‐Shing Jeng
Formato: Artigo
Idioma:Inglês
Publicado: Wiley 2021-12-01
Series:Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease
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Acceso en liña:https://www.ahajournals.org/doi/10.1161/JAHA.121.023486
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