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https://hdl.handle.net/10316/45495| Title: | Prediction of chronic damage in systemic lupus erythematosus by using machine-learning models | Authors: | Ceccarelli, Fulvia Sciandrone, Marco Perricone, Carlo Galvan, Giulio Morelli, Francesco Vicente, Luís Nunes Leccese, Ilaria Massaro, Laura Cipriano, Enrica Spinelli, Francesca Romana Alessandri, Cristiano Valesini, Guido Conti, Fabrizio |
Keywords: | Adult; Disease Progression; Female; Humans; Longitudinal Studies; Lupus Erythematosus, Systemic; Machine Learning; Male; Sensitivity and Specificity; Severity of Illness Index | Issue Date: | 2017 | Publisher: | Masataka Kuwana, Keio University, Japan | Project: | info:eu-repo/grantAgreement/FCT/5876/147205/PT | Serial title, monograph or event: | PloS one | Volume: | 12 | Issue: | 3 | Abstract: | 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 networks. | URI: | https://hdl.handle.net/10316/45495 | DOI: | 10.1371/journal.pone.0174200 | Rights: | openAccess |
| Appears in Collections: | I&D CMUC - Artigos em Revistas Internacionais |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| PlosOne-2017.pdf | 1.24 MB | Adobe PDF | View/Open |
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