Prediction of Stroke Outcome Using Natural Language Processing-Based Machine Learning of Radiology Report of Brain MRI

Prediction of Stroke Outcome Using Natural Language Processing-Based Machine Learning of Radiology Report of Brain MRI

Brain magnetic resonance imaging (MRI) is useful for predicting the outcome of patients with acute ischemic stroke (AIS). Although deep learning (DL) using brain MRI with certain image biomarkers has shown satisfactory results in predicting poor outcomes, no study has assessed the usefulness of natu...

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Bibliographic Details
Main Authors: Tak Sung Heo, Yu Seop Kim, Jeong Myeong Choi, Yeong Seok Jeong, Soo Young Seo, Jun Ho Lee, Jin Pyeong Jeon, Chulho Kim
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Journal of Personalized Medicine
Subjects:
ischemic stroke
functional outcome
machine learning
deep learning
natural language processing
magnetic resonance imaging
Online Access:https://www.mdpi.com/2075-4426/10/4/286

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https://www.mdpi.com/2075-4426/10/4/286

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