Using Anti-Malondialdehyde Modified Peptide Autoantibodies to Import Machine Learning for Predicting...
Using Anti-Malondialdehyde Modified Peptide Autoantibodies to Import Machine Learning for Predicting Coronary Artery Stenosis in Taiwanese Patients with Coronary Artery Disease
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Basel: MDPI AG
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Language
English
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Publisher
Basel: MDPI AG
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Machine learning (ML) algorithms have been applied to predicting coronary artery disease (CAD). Our purpose was to utilize autoantibody isotypes against four different unmodified and malondialdehyde (MDA)-modified peptides among Taiwanese with CAD and healthy controls (HCs) for CAD prediction. In this study, levels of MDA, MDA-modified protein (MDA...
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Full title
Using Anti-Malondialdehyde Modified Peptide Autoantibodies to Import Machine Learning for Predicting Coronary Artery Stenosis in Taiwanese Patients with Coronary Artery Disease
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TN_cdi_doaj_primary_oai_doaj_org_article_3ca673cc96bd4189ad93c45e53786a17
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3ca673cc96bd4189ad93c45e53786a17
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ISSN
2075-4418
E-ISSN
2075-4418
DOI
10.3390/diagnostics11060961
