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 (n = 897) and the test dataset (n = 154) were composed of all incident cases of uveitis...

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Detalles Bibliográficos
Autores principales: Jamilloux, Yvan, Romain-Scelle, Nicolas, Rabilloud, Muriel, Morel, Coralie, Kodjikian, Laurent, Maucort-Boulch, Delphine, Bielefeld, Philip, Sève, Pascal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8347147/
https://www.ncbi.nlm.nih.gov/pubmed/34362175
http://dx.doi.org/10.3390/jcm10153398

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8347147/
https://www.ncbi.nlm.nih.gov/pubmed/34362175
http://dx.doi.org/10.3390/jcm10153398

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