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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Detaylı Bibliyografya
Asıl Yazarlar: Sheng‐Feng Sung, Chih‐Hao Chen, Ru‐Chiou Pan, Ya‐Han Hu, Jiann‐Shing Jeng
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Wiley 2021-12-01
Seri Bilgileri:Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease
Konular:
acute ischemic stroke
machine learning
natural language processing
outcome prediction
risk score
Online Erişim:https://www.ahajournals.org/doi/10.1161/JAHA.121.023486
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