Comparison of a Bayesian Network with a Logistic Regression Model to Forecast IgA Nephropathy

Models are increasingly used in clinical practice to improve the accuracy of diagnosis. The aim of our work was to compare a Bayesian network to logistic regression to forecast IgA nephropathy (IgAN) from simple clinical and biological criteria. Retrospectively, we pooled the results of all biopsies...

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Detalles Bibliográficos
Autores principales: Ducher, Michel, Kalbacher, Emilie, Combarnous, François, Finaz de Vilaine, Jérome, McGregor, Brigitte, Fouque, Denis, Fauvel, Jean Pierre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2013
Materias:
Clinical Study
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3847960/
https://www.ncbi.nlm.nih.gov/pubmed/24328031
http://dx.doi.org/10.1155/2013/686150

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3847960/
https://www.ncbi.nlm.nih.gov/pubmed/24328031
http://dx.doi.org/10.1155/2013/686150

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