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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...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| 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 |