Cohort identification of axial spondyloarthritis in a large healthcare dataset: current and future methods

BACKGROUND: Big data research is important for studying uncommon diseases in real-world settings. Most big data studies in axial spondyloarthritis (axSpA) have been limited to populations identified with billing codes for ankylosing spondylitis (AS). axSpA is a more inclusive concept, and reliance o...

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Библиографические подробности
Опубликовано в: :BMC Musculoskelet Disord
Главные авторы: Walsh, Jessica A., Pei, Shaobo, Penmetsa, Gopi K., Leng, Jianwei, Cannon, Grant W., Clegg, Daniel O., Sauer, Brian C.
Формат: Artigo
Язык:Inglês
Опубликовано: BioMed Central 2018
Предметы:
Research Article
Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC6123987/
https://ncbi.nlm.nih.gov/pubmed/30185185
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12891-018-2211-7
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