Development and Validation of a Bayesian Network for Supporting the Etiological Diagnosis of Uveitis

Development and Validation of a Bayesian Network for Supporting the Etiological Diagnosis of Uveitis

The etiological diagnosis of uveitis is complex. We aimed to implement and validate a Bayesian belief network algorithm for the differential diagnosis of the most relevant causes of uveitis. The training dataset (<i>n</i> = 897) and the test dataset (<i>n</i> = 154) were comp...

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Bibliographic Details
Main Authors: Yvan Jamilloux, Nicolas Romain-Scelle, Muriel Rabilloud, Coralie Morel, Laurent Kodjikian, Delphine Maucort-Boulch, Philip Bielefeld, Pascal Sève
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Journal of Clinical Medicine
Subjects:
uveitis
diagnosis
algorithm
artificial intelligence
Bayesian network
Online Access:https://www.mdpi.com/2077-0383/10/15/3398

Internet

https://www.mdpi.com/2077-0383/10/15/3398

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