Journal: Clinical Rheumatology
Date published: May 2019
Authors: Atul Deodhar, Martin Rozycki, Cody Garges, Oodaye Shukla, Theresa Arndt, Tara Grabowsky, and Yujin Park
- To develop a predictive mathematical model for the early identification of ankylosing spondylitis (AS) based on the medical and pharmacy claims history of patients with and without AS.
- Model A/B performed better than a clinically based model in predicting a diagnosis of AS among patients in a large claims database; its use may contribute to early recognition of AS and a timely diagnosis.