Maria Τektonidou: Machine Learning – A New Approach to CVD Risk in SLE
Maria Τektonidou, Professor of Rheumatology at National and Kapodistrian University of Athens, shared a post on LinkedIn about a recent article she and her colleagues co-authored, published in Rheumatology, adding:
“Conventional and SLE-adapted tools underestimate cardiovascular events and atherosclerosis progression risk in SLE.
A machine learning-based model incorporating disease-specific and traditional cardiovascular risk factors into QRISK3 improves CVD risk stratification.”
Title: Machine learning improves 10-year prediction of atherosclerotic plaque progression and cardiovascular events in systemic lupus erythematosus
Authors: Nikolaos Papazoglou, Petros P Sfikakis, Maria G Tektonidou
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