Subarachnoid hemorrhage admissions retrospectively identified using a prediction model

OBJECTIVE: To create an accurate prediction model using variables collected in widely available health administrative data records to identify hospitalizations for primary subarachnoid hemorrhage (SAH). METHODS: A previously established complete cohort of consecutive primary SAH patients was combine...

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Detalles Bibliográficos
Autores principales: English, Shane W., McIntyre, Lauralyn, Fergusson, Dean, Turgeon, Alexis, dos Santos, Marlise P., Lum, Cheemun, Chassé, Michaël, Sinclair, John, Forster, Alan, van Walraven, Carl
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2016
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Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5067543/
https://www.ncbi.nlm.nih.gov/pubmed/27629096
http://dx.doi.org/10.1212/WNL.0000000000003204

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5067543/
https://www.ncbi.nlm.nih.gov/pubmed/27629096
http://dx.doi.org/10.1212/WNL.0000000000003204

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