Table 5 Enhanced diagnostic accuracy of assessing the CV risk by machine learning of the platelet lipidome.

From: Machine learning insights into thrombo-ischemic risks and bleeding events through platelet lysophospholipids and acylcarnitine species

 

Ischemic Endpoint (AUC)

Bleeding (AUC)

Age/Gender

0.579

0.525

 + CV Risk Factors

0.648

0.663

 + LPE/CAR Concentration

0.757

0.751

 + Lipid Subspecies

0.901

0.804

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