Mapping Thrombosis Serum Markers by <sup>1</sup>H-NMR Allied with Machine Learning Tools

Mapping Thrombosis Serum Markers by <sup>1</sup>H-NMR Allied with Machine Learning Tools

Machine learning and artificial intelligence tools were used to investigate the discriminatory potential of blood serum metabolites for thromboembolism and antiphospholipid syndrome (APS). <sup>1</sup>H-NMR-based metabonomics data of the serum samples of patients with arterial or venous...

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Bibliographic Details
Main Authors: Lucas G. Martins, Bruna M. Manzini, Silmara Montalvão, Millene A. Honorato, Marina P. Colella, Gabriela G. Y. Hayakawa, Erich V. de Paula, Fernanda A. Orsi, Erik S. Braga, Nataša Avramović, Folurunsho Bright Omage, Ljubica Tasic, Joyce M. Annichino-Bizzacchi
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Molecules
Subjects:
thrombosis
metabonomics
antiphospholipid syndrome (APS)
antiphospholipid antibodies (aPLs)
venous thromboembolism (VTE)
machine learning
Online Access:https://www.mdpi.com/1420-3049/29/24/5895
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