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...

पूर्ण विवरण

में बचाया:
ग्रंथसूची विवरण
मुख्य लेखकों: Sheng‐Feng Sung, Chih‐Hao Chen, Ru‐Chiou Pan, Ya‐Han Hu, Jiann‐Shing Jeng
स्वरूप: Artigo
भाषा:Inglês
प्रकाशित: Wiley 2021-12-01
श्रृंखला:Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease
विषय:
acute ischemic stroke
machine learning
natural language processing
outcome prediction
risk score
ऑनलाइन पहुंच:https://www.ahajournals.org/doi/10.1161/JAHA.121.023486
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