Automated Extraction of Stroke Severity From Unstructured Electronic Health Records Using Natural Language Processing
Background Multicenter electronic health records can support quality improvement and comparative effectiveness research in stroke. However, limitations of electronic health record–based research include challenges in abstracting key clinical variables, including stroke severity, along with missing d...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-11-01
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| Series: | Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease |
| Subjects: | |
| Online Access: | https://www.ahajournals.org/doi/10.1161/JAHA.124.036386 |
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