Please use this identifier to cite or link to this item:
https://hdl.handle.net/10316/45495
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Ceccarelli, Fulvia | - |
dc.contributor.author | Sciandrone, Marco | - |
dc.contributor.author | Perricone, Carlo | - |
dc.contributor.author | Galvan, Giulio | - |
dc.contributor.author | Morelli, Francesco | - |
dc.contributor.author | Vicente, Luís Nunes | - |
dc.contributor.author | Leccese, Ilaria | - |
dc.contributor.author | Massaro, Laura | - |
dc.contributor.author | Cipriano, Enrica | - |
dc.contributor.author | Spinelli, Francesca Romana | - |
dc.contributor.author | Alessandri, Cristiano | - |
dc.contributor.author | Valesini, Guido | - |
dc.contributor.author | Conti, Fabrizio | - |
dc.date.accessioned | 2017-12-28T09:44:18Z | - |
dc.date.available | 2017-12-28T09:44:18Z | - |
dc.date.issued | 2017 | - |
dc.identifier.uri | https://hdl.handle.net/10316/45495 | - |
dc.description.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. | por |
dc.language.iso | eng | por |
dc.publisher | Masataka Kuwana, Keio University, Japan | por |
dc.relation | info:eu-repo/grantAgreement/FCT/5876/147205/PT | por |
dc.rights | openAccess | por |
dc.subject | Adult | por |
dc.subject | Disease Progression | por |
dc.subject | Female | por |
dc.subject | Humans | por |
dc.subject | Longitudinal Studies | por |
dc.subject | Lupus Erythematosus, Systemic | por |
dc.subject | Machine Learning | por |
dc.subject | Male | por |
dc.subject | Sensitivity and Specificity | por |
dc.subject | Severity of Illness Index | por |
dc.title | Prediction of chronic damage in systemic lupus erythematosus by using machine-learning models | por |
dc.type | article | - |
degois.publication.firstPage | e0174200 | por |
degois.publication.issue | 3 | por |
degois.publication.title | PloS one | por |
dc.relation.publisherversion | https://doi.org/10.1371/ journal.pone.0174200 | por |
dc.peerreviewed | yes | por |
dc.identifier.doi | 10.1371/journal.pone.0174200 | por |
degois.publication.volume | 12 | por |
item.grantfulltext | open | - |
item.fulltext | Com Texto completo | - |
item.openairetype | article | - |
item.languageiso639-1 | en | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.cerifentitytype | Publications | - |
crisitem.author.orcid | 0000-0003-1097-6384 | - |
Appears in Collections: | I&D CMUC - Artigos em Revistas Internacionais |
Files in This Item:
File | Description | Size | Format | |
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PlosOne-2017.pdf | 1.24 MB | Adobe PDF | View/Open |
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