Cohort identification of axial spondyloarthritis in a large healthcare dataset: current and future methods.
Jessica A WalshShaobo PeiGopi K PenmetsaJianwei LengGrant W CannonDaniel O CleggBrian C SauerPublished in: BMC musculoskeletal disorders (2018)
Standard methods of identifying axSpA patients in a large dataset lacked sensitivity. An appropriate sample of patients with and without axSpA was established and characterized for developing novel axSpA identification methods that are anticipated to enable previously impractical big data research.
Keyphrases
- big data
- healthcare
- end stage renal disease
- artificial intelligence
- ejection fraction
- machine learning
- newly diagnosed
- chronic kidney disease
- prognostic factors
- bioinformatics analysis
- ankylosing spondylitis
- disease activity
- current status
- systemic lupus erythematosus
- patient reported outcomes
- social media
- health information