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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove Medical Press
2018
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Materias: | |
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 |
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