Mapping Thrombosis Serum Markers by 1 H-NMR Allied with Machine Learning Tools
Mapping Thrombosis Serum Markers by 1 H-NMR Allied with Machine Learning Tools
About this item
Full title
Mapping Thrombosis Serum Markers by 1 H-NMR Allied with Machine Learning Tools
Author / Creator
Publisher
Switzerland
Journal title
Molecules (Basel, Switzerland), 2024-12, Vol.29 (24)
Language
English
Formats
Publication information
Publisher
Switzerland
Subjects
More information
Scope and Contents
Contents
Machine learning and artificial intelligence tools were used to investigate the discriminatory potential of blood serum metabolites for thromboembolism and antiphospholipid syndrome (APS).
H-NMR-based metabonomics data of the serum samples of patients with arterial or venous thromboembolism (VTE) without APS (n = 32), thrombotic primary APS pati...
Alternative Titles
Full title
Mapping Thrombosis Serum Markers by 1 H-NMR Allied with Machine Learning Tools
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_pubmed_primary_39769984
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmed_primary_39769984
Other Identifiers
E-ISSN
1420-3049
DOI
10.3390/molecules29245895
