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Biomarkers of erosive arthritis in systemic lupus erythematosus: Application of machine learning mod...

Biomarkers of erosive arthritis in systemic lupus erythematosus: Application of machine learning mod...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2149881303

Biomarkers of erosive arthritis in systemic lupus erythematosus: Application of machine learning models

About this item

Full title

Biomarkers of erosive arthritis in systemic lupus erythematosus: Application of machine learning models

Publisher

United States: Public Library of Science

Journal title

PloS one, 2018-12, Vol.13 (12), p.e0207926-e0207926

Language

English

Formats

Publication information

Publisher

United States: Public Library of Science

More information

Scope and Contents

Contents

Limited evidences are available on biomarkers to recognize Systemic Lupus erythematosus (SLE) patients at risk to develop erosive arthritis. Anti-citrullinated peptide antibodies (ACPA) have been widely investigated and identified in up to 50% of X-ray detected erosive arthritis; conversely, few studies evaluated anti-carbamylated proteins antibodi...

Alternative Titles

Full title

Biomarkers of erosive arthritis in systemic lupus erythematosus: Application of machine learning models

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_plos_journals_2149881303

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2149881303

Other Identifiers

ISSN

1932-6203

E-ISSN

1932-6203

DOI

10.1371/journal.pone.0207926

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