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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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| Publicado no: | BMC Musculoskelet Disord |
|---|---|
| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2018
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| Assuntos: | |
| Acesso em linha: | 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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