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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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| Autores principales: | , , , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Wiley
2021-12-01
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| Colección: | Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease |
| Materias: | |
| Acceso en línea: | https://www.ahajournals.org/doi/10.1161/JAHA.121.023486 |
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