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[HTML][HTML] Automated Extraction of Stroke Severity from Unstructured Electronic Health Records using Natural Language Processing

M Fernandes, MB Westover, AB Singhal, SF Zafar - medRxiv - ncbi.nlm.nih.gov
BACKGROUND: Multi-center electronic health records (EHR) can support quality
improvement initiatives and comparative effectiveness research in stroke care. However …
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Automated Extraction of Stroke Severity from Unstructured Electronic Health Records using Natural Language Processing

M Fernandes, MB Westover… - … : the preprint server …, 2024 - pubmed.ncbi.nlm.nih.gov
Background Multi-center electronic health records (EHR) can support quality improvement
initiatives and comparative effectiveness research in stroke care. However, limitations of …

Automated Extraction of Stroke Severity from Unstructured Electronic Health Records using Natural Language Processing.

M Fernandes, MB Westover, AB Singhal… - Medrxiv: the Preprint …, 2024 - europepmc.org
Background Multi-center electronic health records (EHR) can support quality improvement
initiatives and comparative effectiveness research in stroke care. However, limitations of …

Automated Extraction of Stroke Severity from Unstructured Electronic Health Records using Natural Language Processing.

M Fernandes, MB Westover, AB Singhal… - Medrxiv: the Preprint …, 2024 - europepmc.org
Background Multi-center electronic health records (EHR) can support quality improvement
initiatives and comparative effectiveness research in stroke care. However, limitations of …