Machine learning in the integration of simple variables for identifying patients with myocardial ischemia

ConclusionsML is feasible and applicable in the evaluation and utilization of simple and accessible predictors for the identification of patients who will present myocardial ischemia and an elevated risk of MACE in quantitative PET imaging.
Source: Journal of Nuclear Cardiology - Category: Nuclear Medicine Source Type: research