Assessing stroke severity using electronic health record data: a machine learning approach

BACKGROUND: Stroke severity is an important predictor of patient outcomes and is commonly measured with the National Institutes of Health Stroke Scale (NIHSS) scores. Because these scores are often recorded as free text in physician reports, structured real-world evidence databases seldom include th...

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Detalles Bibliográficos
Autores principales: Kogan, Emily, Twyman, Kathryn, Heap, Jesse, Milentijevic, Dejan, Lin, Jennifer H., Alberts, Mark
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6950922/
https://www.ncbi.nlm.nih.gov/pubmed/31914991
http://dx.doi.org/10.1186/s12911-019-1010-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6950922/
https://www.ncbi.nlm.nih.gov/pubmed/31914991
http://dx.doi.org/10.1186/s12911-019-1010-x

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