Improved cardiovascular risk prediction in patients with end-stage renal disease on hemodialysis usi...
Improved cardiovascular risk prediction in patients with end-stage renal disease on hemodialysis using machine learning modeling and circulating microribonucleic acids
About this item
Full title
Author / Creator
Publisher
Australia: Ivyspring International Publisher Pty Ltd
Journal title
Language
English
Formats
Publication information
Publisher
Australia: Ivyspring International Publisher Pty Ltd
Subjects
More information
Scope and Contents
Contents
To test whether novel biomarkers, such as microribonucleic acids (miRNAs), and nonstandard predictive models, such as decision tree learning, provide useful information for medical decision-making in patients on hemodialysis (HD).
Samples from patients with end-stage renal disease receiving HD included in the AURORA trial were investigated (n=81...
Alternative Titles
Full title
Improved cardiovascular risk prediction in patients with end-stage renal disease on hemodialysis using machine learning modeling and circulating microribonucleic acids
Authors, Artists and Contributors
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Primary Identifiers
Record Identifier
TN_cdi_swepub_primary_oai_DiVA_org_uu_419063
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_swepub_primary_oai_DiVA_org_uu_419063
Other Identifiers
ISSN
1838-7640
E-ISSN
1838-7640
DOI
10.7150/thno.46123
