Automated Extraction of Stroke Severity from Unstructured Electronic Health Records using Natural Language Processing
Marta Fernandes,
M. Brandon Westover,
Aneesh B. Singhal
et al.
Abstract:BACKGROUND: Multi-center electronic health records (EHR) can support quality improvement initiatives and comparative effectiveness research in stroke care. However, limitations of EHR-based research include challenges in abstracting key clinical variables from non-structured data at scale. This is further compounded by missing data. Here we develop a natural language processing (NLP) model that automatically reads EHR notes to determine the NIH stroke scale (NIHSS) score of patients with acute stroke. METHODS:… Show more
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