Machine learning-based marker for coronary artery disease: derivation and validation in two longitudinal cohorts

Electronic health record-based machine learning was used to generate an in-silico
marker for coronary artery disease that can non-invasively quantify atherosclerosis
and risk of death on a continuous spectrum, and identify underdiagnosed individuals.

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