Carotid Artery Disease - Springer Nature

Serum Biomarkers and Classification and Regression Trees Can Discriminate Symptomatic from Asymptomatic Carotid Artery Disease Patients

On a Luminex 3D platform, fibrinogen, matrix metalloproteinase-1, tissue inhibitor of metalloproteinase-1, soluble intercellular adhesion molecule, soluble vascular adhesion molecule, soluble cell adhesion molecule, soluble vascular adhesion molecule, adiponectin, and insulin were measured; later, a CART model was developed and evaluated; later, a CART model was developed and insulin, a Luminex 3D platform, cellular adhe-1, Metalloproteinase-1, tissue adhe-1, metalloproteinase-1, molecule was built and evaluated; molecule cellular adhe-1, ase-1 molecule, cellular adhe-1; later, molecule; While the overall accuracy of 90. 4% was 90. 4%, the constructed CART prognostic model had 97. 6% discrimination accuracy on symptomatic patients and 79. 6% on asymptomatic, and 79. 6% on asymptomatic. The CART model proved to be a simple decision-making algorithm linked to risk probabilities and delivered evidence to identify and, therefore, treat patients at a high risk of cardiovascular disease.

Source link: https://doi.org/10.1007/s44200-021-00004-8

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