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...

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Bibliographic Details
Main Authors: Parisa Niloofar, Parastoo Niloofar, Mehdi Yaseri
Format: Article
Published: Tehran University of Medical Sciences 2019-03-01
Series:Journal of Biostatistics and Epidemiology
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