Prediction of chronic damage in systemic lupus erythematosus by using machine-learning models

OBJECTIVE: The increased survival in Systemic Lupus Erythematosus (SLE) patients implies the development of chronic damage, occurring in up to 50% of cases. Its prevention is a major goal in the SLE management. We aimed at predicting chronic damage in a large monocentric SLE cohort by using neural n...

Descripción completa

Detalles Bibliográficos
Autores principales: Ceccarelli, Fulvia, Sciandrone, Marco, Perricone, Carlo, Galvan, Giulio, Morelli, Francesco, Vicente, Luis Nunes, Leccese, Ilaria, Massaro, Laura, Cipriano, Enrica, Spinelli, Francesca Romana, Alessandri, Cristiano, Valesini, Guido, Conti, Fabrizio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5362169/
https://www.ncbi.nlm.nih.gov/pubmed/28329014
http://dx.doi.org/10.1371/journal.pone.0174200

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5362169/
https://www.ncbi.nlm.nih.gov/pubmed/28329014
http://dx.doi.org/10.1371/journal.pone.0174200

Ejemplares similares