Which Surrogate Insulin Resistance Indices Best Predict Coronary artery disease? a machine learning approach
Seyed Reza Mirjalili,
Sepideh Soltani,
Zahra Heidari Meybodi
et al.
Abstract:Background
Various surrogate markers of insulin resistance have been developed, capable of predicting coronary artery disease (CAD) without the need to detect serum insulin. For accurate prediction, they depend only on glucose and lipid profiles, as well as anthropometric features. However, there is still no agreement on the most suitable one for predicting CAD.
Methods
We followed a cohort of 2,000 individuals, ranging in age from 20 to 74, for a duration of 9.9 years. We utilized multivariate Cox proportio… Show more
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