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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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| Опубликовано в: : | J Pers Med |
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| Главные авторы: | , , , , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
MDPI
2020
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7766032/ https://ncbi.nlm.nih.gov/pubmed/33339385 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/jpm10040286 |
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