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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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| 主要な著者: | , , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Wiley
2021-12-01
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| シリーズ: | Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease |
| 主題: | |
| オンライン･アクセス: | https://www.ahajournals.org/doi/10.1161/JAHA.121.023486 |
| タグ: |
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