Assessment of proteinuria level in nephrology patients using a machine learning approach-Reference-Cited by-同舟云学术

Assessment of proteinuria level in nephrology patients using a machine learning approach

Published:2021-05-14 Issue: Volume: Page:
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Container-title:2021 5th International Conference on Medical and Health Informatics
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Author:

Scala Arianna¹,Loperto Ilaria¹,Carrano Rosa²,Federico Stefano¹,Triassi Maria³,Improta Giovanni³

Affiliation:

1. Department of Public Health, University of Naples Federico II, Italy

2. University Hospital Federico II of Naples - Integrated Department of General Surgery and Specialist Surgery, Kidney Transplantation, Nephrology, Intensive and Pain Care, Italy

3. Department of Public Health, University of Naples Federico II and Interdepartmental Center for Research in Healthcare Management and Innovation in Healthcare (CIRMIS), University of Naples Federico II, Italy

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3472813.3472816

Reference43 articles.

1. ‘Proteinuric renal disease’;Topham P.;Clin. Med.,2009

2. ‘Why is proteinuria an ominous biomarker of progressive kidney disease?’;Zandi-Nejad K.;Kidney Int.,2004

3. ‘Sources of Urinary Proteins and their Analysis by Urinary Proteomics for the Detection of Biomarkers of Disease’;Julian B. A.;Proteomics Clin. Appl.,2009

4. ‘Differentiation of glomerular, tubular, and normal proteinuria: determinations of urinary excretion of beta-2-macroglobulin, albumin, and total protein’;Peterson P. A.;J. Clin. Invest.,1969

5. ‘Management of glomerular proteinuria: a commentary’;Wilmer W. A.;J. Am. Soc. Nephrol. JASN,2003

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