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...

Descripción completa

Detalles Bibliográficos
Autores principales: Walsh, Jessica A., Pei, Shaobo, Penmetsa, Gopi K., Leng, Jianwei, Cannon, Grant W., Clegg, Daniel O., Sauer, Brian C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6123987/
https://www.ncbi.nlm.nih.gov/pubmed/30185185
http://dx.doi.org/10.1186/s12891-018-2211-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6123987/
https://www.ncbi.nlm.nih.gov/pubmed/30185185
http://dx.doi.org/10.1186/s12891-018-2211-7

Ejemplares similares