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...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease
المؤلفون الرئيسيون: Marta Fernandes, M. Brandon Westover, Aneesh B. Singhal, Sahar F. Zafar
التنسيق: مقال
اللغة:الإنجليزية
منشور في: Wiley 2024-11-01
الموضوعات:
electronic health records
machine learning
National Institutes of Health Stroke Scale
phenotyping
stroke
الوصول للمادة أونلاين:https://www.ahajournals.org/doi/10.1161/JAHA.124.036386

الانترنت

https://www.ahajournals.org/doi/10.1161/JAHA.124.036386

مواد مشابهة