A phenotyping algorithm to identify acute ischemic stroke accurately from a national biobank: the Million Veteran Program

BACKGROUND: Large databases provide an efficient way to analyze patient data. A challenge with these databases is the inconsistency of ICD codes and a potential for inaccurate ascertainment of cases. The purpose of this study was to develop and validate a reliable protocol to identify cases of acute...

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Detalles Bibliográficos
Autores principales: Imran, Tasnim F, Posner, Daniel, Honerlaw, Jacqueline, Vassy, Jason L, Song, Rebecca J, Ho, Yuk-Lam, Kittner, Steven J, Liao, Katherine P, Cai, Tianxi, O’Donnell, Christopher J, Djousse, Luc, Gagnon, David R, Gaziano, J Michael, Wilson, Peter WF, Cho, Kelly
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2018
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6201999/
https://www.ncbi.nlm.nih.gov/pubmed/30425582
http://dx.doi.org/10.2147/CLEP.S160764

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6201999/
https://www.ncbi.nlm.nih.gov/pubmed/30425582
http://dx.doi.org/10.2147/CLEP.S160764

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