A novel method to monitor rheumatoid arthritis prevalence using hospital and medication databases.
Louise Koller-SmithAhmed MehdiLyn MarchLeigh ToothGita D MishraRanjeny ThomasPublished in: Arthritis research & therapy (2024)
We provide an algorithm for identifying individuals with RA, which could be used for population studies and monitoring RA in Australia and, with adjustments, internationally. Its balance of accuracy and practicality will be useful for health service planning using relatively easily accessible input data.
Keyphrases
- rheumatoid arthritis
- disease activity
- big data
- adverse drug
- healthcare
- ankylosing spondylitis
- machine learning
- electronic health record
- interstitial lung disease
- risk factors
- deep learning
- systemic lupus erythematosus
- case control
- artificial intelligence
- emergency department
- data analysis
- idiopathic pulmonary fibrosis