Assessing Diagnostic Accuracy of Doctors Without a Gold Standard using Bayesian Networks and Kmodes Dlustering Algorithm
Background & Aim: The diagnostic accuracy of a test is the ability to discriminate accuratelybetween patients who have and do not have the target disease. A common problem in assessing thediagnostic accuracy of doctors is the unknown true disease status which in the literature is referredas “ab...
|Main Authors:||, ,|
Tehran University of Medical Sciences
|Series:||Journal of Biostatistics and Epidemiology|