Development and validation of a Bayesian network for the differential diagnosis of anterior uveitis.

ABSTRACT: PurposeTo develop and validate a Bayesian belief network algorithm for the differential diagnosis of anterior uveitis.Patients and methodsThe 11 most common etiologies were included (idiopathic, ankylosing spondylitis, psoriasic arthritis, reactive arthritis, inflammatory bowel diseases, sarcoidosis, tuberculosis, Behçet, Posner-Schlossman syndrome, juvenile idiopathic arthritis (JIA), and Fuchs' heterochromic cyclitis). Frequencies of association between factors and etiologies were retrieved from a systematic review of the literature. Prevalences were calculated using a random sample of 200 patients receiving a diagnosis of anterior uveitis in Moorfields Eye Hospital in 2012. The network was validated in a random sample of 200 patients receiving a diagnosis of anterior uveitis in the same

SUBMITTER: Gonzalez-Lopez JJ 

PROVIDER: S-EPMC4906465 | biostudies-literature | 2016 Jun

REPOSITORIES: biostudies-literature